CN111259472A - Optimal design method and system for building structure - Google Patents
Optimal design method and system for building structure Download PDFInfo
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Abstract
The invention discloses an optimization design method and system of a building structure, wherein the method comprises the following steps: establishing a big database based on unoptimized and optimized project information; establishing a material dosage sensitive point library for sensitive point parts influencing material dosage through material dosage sensitivity analysis; inputting relevant key parameters of a project to be optimized, and obtaining a project required to call a sub-library or a sub-library combination suggestion through guidance of a database sensitive point; calling the recommended sub-library or the sub-library combination, selecting the technical measures and the quantization list originally used by the parameters triggering the calling and the recommended optimal technical measures and the quantization list from the results, and comparing the original and optimal technical measures with the corresponding quantization list to obtain an optimization result to be selected; and selecting and confirming the optimization result to be selected, and generating the technical measure guidance and quantification list of the project. The problem of technical staff lack the recheck of material quantity and process control is solved, safety is considered and material waste is avoided in different design schemes.
Description
Technical Field
The invention relates to the field of building structures, in particular to an optimization design method and system of a building structure.
Background
The design of the building structure is a strict technical work of a gate because of the safety in use. How to take safety into consideration and avoid material waste in different design schemes is always the focus of attention of construction parties. In real life, a construction party entrusts a professional design unit to perform the operation. The main characteristics are as follows: the specific professional design technicians accept the design and production tasks, conceive and set the technical scheme, deeply design the technical scheme, and complete and deliver the design after rechecking and modifying.
The prior design method has the following defects:
1. the method mainly depends on specific people, and the technical level of people is high or low, the experience capability is more or less, so that the product quality has larger uncertainty and difference;
2. the method has the advantages that the method has broad breadth of our country, different requirements of landform types, load conditions, earthquake fortification and the like in various regions, different specific requirements of construction parties, limited energy and time of professional design technicians, incapability of ensuring meticulous and detailed scheme setting and technical means selection in fast-paced work and no time for paying attention to the product quality;
3. the responsibility mechanism of the building industry ensures that professional design technicians mainly pay attention to the structural safety and complete tasks in terms of thinking, thereby causing material waste;
4. professional design technicians take professional design and production task completion as main working contents, and review and process control of material consumption are lacked.
Disclosure of Invention
The invention mainly aims at the defects of the prior art and provides an optimal design method and system of a building structure, which can give consideration to safety and avoid material waste in different design schemes.
The technical scheme adopted by the invention is as follows: an optimal design method of a building structure comprises the following steps:
a project module for building a big database based on the unoptimized and optimized project information;
respectively establishing a material dosage sensitive point library for each sensitive point part influencing the material dosage through material dosage sensitivity analysis of the project module;
inputting relevant key parameters of a project to be optimized, and obtaining a material usage sensitive point sub-library or sub-library combined suggestion which needs to be called by the project through database sensitive point guidance;
calling the recommended sub-library or the sub-library combination, selecting the technical measures and the corresponding quantization lists which are originally used by the parameters triggering the calling and the recommended optimal technical measures and the corresponding quantization lists from the results, and comparing the original and optimal technical measures with the corresponding quantization lists to obtain the compared optimization results to be selected;
and selecting and confirming the optimization result to be selected, and generating a technical measure guidance and a quantitative list according with the project condition.
In some embodiments of the method for optimally designing a building structure of the present invention, the material usage sensitivity analysis is an analysis and comparison of a specific part or a combination of parts of the material usage with respect to a specific external parameter, so as to obtain a change situation of the material usage using different technical measures when the external parameter changes.
In some embodiments of the method for optimizing the design of a building structure according to the present invention, the result of the material usage sensitivity analysis includes the magnitude of the influence of the specific external parameter on the specific part or the combination of parts of the material usage when different technical measures are used, and whether the sensitive point part is formed is determined according to the magnitude of the influence.
In some embodiments of the method for optimally designing a building structure of the present invention, whether the magnitude of the influence amplitude is sufficient to make the corresponding specific part or the combination of parts constitute the sensitive point part is determined by a preset threshold range.
In some embodiments of the method for optimally designing a building structure of the present invention, the sub-library is provided with results of sensitivity analysis of material usage using different technical measures when the key parameter changes; and after the relevant key parameters of the project are obtained, indicating the optimal technical measures and the corresponding quantization list of the sensitive point parts according with the project situation in the established sub-library according to the result.
In some embodiments of the method for optimally designing a building structure of the present invention, the optimal technical measure and the corresponding quantization list suggested by each sub-library or sub-library combination are generated in the process of calling the sensitive point part according with the project condition from the large database for comparison according to the suggested sub-library or sub-library combination.
In some embodiments of the method for optimally designing a building structure of the present invention, the method further comprises the steps of: and adding the original information and the final information of the project into a big database, and upgrading the information of the big database.
In some embodiments of the method for optimally designing a building structure of the present invention, the sub-library created for the sensitive point location includes any one or any combination of the following: the system comprises a region sub-base, a load sub-base, an aspect ratio sub-base, a plane regularity sub-base, a building type sub-base, building type sub-bases with different grades, a concrete mark number and dosage sub-base, a steel bar model and dosage sub-base, a steel structure model and dosage sub-base, a column net form sub-base, a building height sub-base, a building floor number sub-base, a building floor height sub-base, a basement floor number sub-base, a basement floor height sub-base, a basement roof thickness sub-base, a basement middle plate thickness sub-base, a basement floor thickness sub-base, a foundation form sub-base, a standard house form sub-base, a new product and a new technology special sub-base with own intellectual property rights or with authorized intellectual property rights by other parties, and related optimization selection data.
In some embodiments of the method for optimally designing a building structure of the present invention, the key parameters include any one or any combination of the following:
external factors of project structural indicators;
calculating the aperture and the area;
structural unification technical measures;
a reinforcement principle;
optimizing a target value or quota index;
and the parameters correspond to the sensitive point position sub-library names.
An optimal design system for a building structure, comprising:
a project module containing non-optimized and optimized project information;
the sub-library management module is used for establishing sub-libraries at the sensitive point positions influencing the material consumption respectively through the material consumption sensitivity analysis of the project module;
the sensitive point guiding module is used for acquiring relevant key parameters of the project to be optimized and obtaining a sub-library or sub-library combined suggestion of the sensitive point part according with the project condition through database sensitive point guiding;
the sensitive point comparison module is used for calling the sub-library or the sub-library combination recommended to be called, selecting the technical measures and the corresponding quantization list originally used by the parameters triggering the calling and the optimal technical measures and the corresponding quantization list recommended in the system from the results, and comparing the original and optimal technical measures with the corresponding quantization list to obtain the compared optimization result to be selected;
and the information generation module is used for generating a technical measure guidance and quantization list according with the project condition aiming at the optimization result to be selected.
Due to the adoption of the technical scheme, the invention has the following beneficial effects:
1. the problem that product quality has larger uncertainty and difference by only depending on professional design technicians is solved;
2. the problem of material waste caused by the fact that a professional design technician is solely relied on and mainly focuses on structural safety and task completion is solved;
3. the problems that a construction party has high cost for constructing auditors, but has more butt joints and low efficiency, and the product quality of the auditors is not out of control when not constructing auditors are solved;
4. the optimal or nearly optimal design product can be realized on the premise of meeting the national standard requirements and building safety, and the expected social benefit and economic benefit are generated;
5. the technical level of professional design technicians can be accelerated, and the industry and the society can be rewarded;
6. and the database for the third-party professional optimization and the professional optimization technical personnel level and capability are continuously improved, and more values are created.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 illustrates a flow chart of the method for optimal design of a building structure of the present invention.
FIG. 2 illustrates a functional block diagram of the method for optimal design of a building structure according to the present invention.
Fig. 3 illustrates a schematic diagram of the method for optimizing the design of the building structure of the present invention, which is exemplified by a basement project.
Fig. 4 illustrates a flow chart of the method for optimally designing a building structure of the present invention, which is taken as an example of a basement project.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention.
The invention is described in further detail below with reference to the figures and specific examples.
The design of the building structure is a strict technical work of a gate because of the safety in use. How to take safety into consideration and avoid material waste in different design schemes is always the focus of attention of construction parties. In real life, a construction party entrusts a professional design unit to perform the operation. The main characteristics are as follows: the specific professional design technicians accept the design and production tasks, conceive and set the technical scheme, deeply design the technical scheme, and complete and deliver the design after rechecking and modifying. However, professional design technicians mainly work on professional design and production tasks, and thus review of material usage and process control are lacking. Therefore, the problem of great material waste in the building industry is caused.
Aiming at the defects and pain points of the existing design method of the building structure, the invention provides an optimal design method and an optimal design system of the building structure.
As shown in fig. 1, the method for optimally designing a building structure of the present invention mainly comprises the following steps:
step S01, a project module of a big database is established based on a great amount of unoptimized and optimized project information;
such as: and summarizing unoptimized and optimized project design case data of a plurality of construction parties/developers in practical application, including original data and all optimized records, and establishing a project module of a large database.
Step S02, respectively establishing material consumption sensitive point sub-libraries at each sensitive point part influencing the material consumption through the material consumption sensitivity analysis of the project module, and establishing sub-library management modules forming a large database;
the material dosage sensitivity analysis refers to analyzing and comparing specific parts or part combinations of the material dosage according to a specific external parameter to obtain the change of the parameter, and under the condition that other parameters are not changed, different technical measures are used, the dosage of the material is not changed or changed, and if the dosage is changed, the dosage is changed.
For example: for all cases in the big data, material dose sensitivity analysis was performed. If the layer height is 2.8 m-3.2 m, and the structure system is a shear wall structure, the material consumption is optimal by analyzing how thick, how long and how many steel bars are arranged for the shear wall. If the layer height is 2.8m and the thickness of the shear wall is 200mm is optimal, the shear wall is taken as an optimal technical measure and a quantization list is generated; but the system also analyzes all other non-optimal conditions, such as technical measures when the thickness of the shear wall is 250mm, 300mm and 350mm and generates a corresponding quantitative list. All the analysis conditions are built into a sub-library, and the sub-library can be named as a floor height sub-library or a building floor height sub-library. And by analogy of a frame structure, a frame shear wall structure, a frame core tube structure and the like, a material consumption sensitive point sub-library can be respectively established to form a sub-library management module of the large database. Therefore, when the external parameters are changed, different technical measures are used, and the result of the material dosage sensitivity analysis comprises the optimal technical measure and the corresponding quantitative list, and also comprises the technical measure and the corresponding quantitative list (namely, non-optimal) originally used by the parameters.
Step S03, inputting key parameters of the sensitive point part related to the project to be optimized, and obtaining a material usage sensitive point sub-library or sub-library combined suggestion to be called by the project through the guidance of the sensitive points of the database;
for example: when a specific shear wall project needs to be optimized, for example, a professional optimization technician imports key parameters to be optimized in project scheme design data of the professional design technician into a large database, if the floor height is 2.8m, the thickness of the shear wall in the design scheme is 300mm, and under the condition that other parameters are the same, according to the result of material usage sensitivity analysis in the system, the thickness of the shear wall is 200mm is optimal when the floor height is 2.8m, so that the design scheme with the floor height of 2.8m and the thickness of 300mm can be judged not to be the optimal scheme, other more optimal schemes exist in the system, and at the moment, the system prompts 'floor height sublibrary' to trigger calling.
Further, the result of the material usage sensitivity analysis may further include an influence amplitude of a specific external parameter on a specific portion or a portion combination of the material usage, so that whether the specific portion or the portion combination triggers the call may be determined according to the influence amplitude. For example, when the preset concrete usage exceeds 1%, the sublibrary is triggered to be called, as in the above case, when the height of the input key parameter layer is 2.8m, the thickness of the shear wall is 300mm, and the corresponding concrete usage exceeds 1%, it can be judged that the layer height sublibrary is not the optimal scheme, and the system prompts the layer height sublibrary to be triggered to be called. On the contrary, when the height of the input key parameter layer is 2.8m, the thickness of the shear wall is 200mm, the corresponding concrete consumption is less than 1% and the optimal technical measure in the system is adopted, the system can not trigger the sub-library calling, namely, the optimization is not needed. Or when the input key parameters are analyzed and the concrete consumption is found to be not only less than 1% but also less than the concrete consumption of the optimal technical measures (2.8 m of floor height and 200mm of wall thickness) in the system, the system does not prompt the triggering of the sub-library calling, and the project information is added into a project module of the large database to update the information of the large database.
For another example: for a specific project, when the building height is 80m and the floor height is allowed to be adjusted, the designer in the design institute has designed the floor height to be a number, such as 3m, according to his own understanding. However, in the story height sub-library, for a building with a height of 80m, there is an analyzed sub-library, that is, a sub-library for both story height data corresponding to the optimal and most wasted solutions.
When a 3m floor height is introduced into the system, the sensitive point trigger value set by the optimization engineer is 1%, for example. If the optimal solution in the system is 2.8m high, the calling data is analyzed. For example, it is found that if the material amount of a 3m layer is 100 and the material amount of a 2.8m layer is 70, (100-70)/100 > 30% > 1%, the sensitive spot library is naturally called. The layer height suggestion given is 2.8m, incidentally a quantitative comparison list of concrete and rebar usage is given for 3m layer heights and 2.8m layer heights.
Step S04, calling the sub-library or sub-library combination recommended to be called, selecting the technical measure and the corresponding quantization list used originally for triggering the called parameter and the recommended optimal technical measure and the corresponding quantization list from the result, and comparing the original and optimal technical measures with the corresponding quantization list to obtain the compared optimization result to be selected;
for example: and a professional optimization technician triggers a called sublibrary or sublibrary combination suggestion according to system prompt, clicks and confirms all material dosage schemes under the condition that the height of a calling layer is 2.8m, and can naturally obtain the shear wall with the thickness of 300mm and the corresponding concrete dosage. It is also shown that a shear wall of 200mm thickness is the optimal comparison scheme and the corresponding concrete usage. Professional optimization technicians compare technical measures of the shear wall with the thickness of 300mm with optimal technical measures of the shear wall with the thickness of 200mm, which are proposed by a corresponding quantization list and a system, with the quantization list to obtain an optimization result to be selected after comparison, such as the shear wall with the thickness of 200 mm. Certainly, in consideration of other considerations, the shear wall with the thickness of 300mm is selected as the optimization result to be selected, the system only prompts the optimal scheme for optimizing the material consumption based on the big data, and provides technical measures and a corresponding quantitative list, so that the system is convenient for a professional to view and reference.
And step S05, selecting and confirming the optimization results to be selected, and generating technical measure guidance and quantitative lists according with project conditions.
For example, after the professional optimization technician rechecks and confirms the technical measures and the quantization list, and clicks and confirms after confirming that no error exists, if a shear wall with a thickness of 200mm is selected, the generated technical measure guidance is as follows: the thickness of the shear wall at a certain part is adjusted to be 200mm and corresponds to the consumption of concrete. The rebar placement is similar to the case of the option. It is also possible that the optimal structural system is not a shear wall structural system but a frame structural system, without shear walls, but with beams, the beam cross-section being 500mm 300mm optimal. The technical measure guidance then becomes: the modified structure is a frame structure, and the beam height is 500mm by 300 mm.
Finally, after step S05, the method may further include the steps of: and adding the original information and the final information of the project into a big database, and upgrading the information of the big database.
Specifically, after information exchange is carried out between a professional optimization technician and a professional design technician, the original scheme design data is modified until the project is completed; and then, adding the original and final project information including the quantitative list to the big database by professional optimization technicians to finish the upgrading of the information of the big data and the related sub-databases. For example, in the method for optimally designing the building structure according to the present invention, the sub-library formed by the sensitive point locations may include the following or any other relevant content: the system comprises a region sub-base, a load sub-base, an aspect ratio sub-base, a plane regularity sub-base, a building type sub-base, building type sub-bases with different grades, a concrete mark number and dosage sub-base, a steel bar model and dosage sub-base, a steel structure model and dosage sub-base, a column net form sub-base, a building height sub-base, a building floor number sub-base, a building floor height sub-base, a basement floor number sub-base, a basement floor height sub-base, a basement roof thickness sub-base, a basement middle plate thickness sub-base, a basement floor thickness sub-base, a foundation form sub-base, a standard house form sub-base, a new product and a new technology special sub-base with own intellectual property rights or with authorized intellectual property rights by other parties, and related optimization selection data. And the sub-library formed by the sensitive point parts also comprises a quantitative list aiming at the specific sub-library or the sub-library combination.
The key parameters for importing large databases by professional optimization technicians can include the following:
1) external factors of the project structure index comprise land survey, safety assessment, building house type, story height, material selection and the like;
2) calculating the aperture and the area;
3) structural unification technical measures;
4) a reinforcement principle;
5) optimizing a target value or quota index;
6) the parameters corresponding to the sensitive point position sub-library name comprise: column net form, building floor height, basement floor number, basement floor height, basement roof earthing thickness, basement roof thickness, basement middle plate thickness, basement floor thickness, foundation form, standard house type form, etc.
Technical measures guidelines for the professional optimization technician to review the confirmation may include the following:
1) optimizing technical measure suggestions of a tower structure model;
2) optimizing technical measure suggestions of the underground garage structure model;
3) typical house types and typical cross-reinforced panel patterns include tower and underground garages.
The expert optimization technician reviews the confirmed quantization list, which may include the following or any other relevant content:
1) estimating the concrete amount in the project model;
2) estimating the steel bar quantity in the project model;
3) other required material quantity prediction indexes in the project model;
4) the material dosage indexes of 1), 2) and 3) are corresponded in the design of the original project scheme;
the professional optimization technicians recheck the confirmed quantization list, and when a new product and a new technical special item sublibrary which own intellectual property right or adopts other party to authorize the intellectual property right are called, the method also comprises the following contents: the amount of the special material used for the new product and the special technology is estimated.
As shown in fig. 2, a functional block diagram illustrating the optimal design system of the building structure of the present invention can be used to operate the aforementioned optimal design method of the building structure of the present invention. Specifically, as shown in fig. 2, the optimization design system mainly includes a project module 10, a sub-library management module 11, a sensitive point guide module 12, a sensitive point comparison module 13, and an information generation module 14. Wherein:
the project module 10 contains a large amount of non-optimized and optimized project information. The project information may be project design case data, including raw data and optimized full records, searched from many different builders/developers.
And the sub-library management module 11 is used for establishing a material consumption sensitive point sub-library for each sensitive point part influencing the material consumption respectively through the material consumption sensitivity analysis of the project module 10, and establishing a large database together with the project module 10.
The result of the material usage sensitivity analysis is to analyze and compare specific parts or part combinations of the material usage against a specific external parameter to obtain different technical measures used when the external parameter changes, the change situation of the material usage, and the result not only contains the optimal technical measure and the corresponding quantization list of the parameter, but also contains the technical measure and the corresponding quantization list used originally by the parameter.
The sensitive point guiding module 12 is used for acquiring relevant key parameters of a project to be optimized, and obtaining a material usage sensitive point sub-library or sub-library combined suggestion which needs to be called by the project through database sensitive point guiding;
and the sensitive point comparison module 13 is used for calling the sub-library or the sub-library combination recommended to be called, selecting the technical measures and the corresponding quantization list originally used by the parameters triggering the calling and the optimal technical measures and the corresponding quantization list recommended in the system from the result of the material usage sensitivity analysis, and comparing the original and optimal technical measures with the corresponding quantization list to obtain a compared optimization result to be selected.
And the information generation module 14 is used for generating a technical measure guidance and quantization list according with the project condition aiming at the optimization result to be selected. Furthermore, the system for optimally designing a building structure of the present invention further includes an information adding module (not shown in the figure) for adding the original information and the final information of the project into the large database after the information generating module 14 generates the technical measure guidance and quantification list according with the situation of the project, and performing information upgrade on the large database.
Compared with the prior art, the optimal design method and the optimal design system of the building structure have the beneficial effects that:
1. the problem that product quality has larger uncertainty and difference by only depending on professional design technicians is solved;
2. the problem of material waste caused by the fact that a professional design technician is solely relied on and mainly focuses on structural safety and task completion is solved;
3. the problems that a construction party has high cost for constructing auditors, but has more butt joints and low efficiency, and the product quality of the auditors is not out of control when not constructing auditors are solved;
4. the optimal or nearly optimal design product can be realized on the premise of meeting the national standard requirements and building safety, and the expected social benefit and economic benefit are generated;
5. the technical level of professional design technicians can be accelerated, and the industry and the society can be rewarded;
6. and the database for the third-party professional optimization and the professional optimization technical personnel level and capability are continuously improved, and more values are created.
Referring to fig. 3 and 4, the optimized design method of the building structure of the present invention is further illustrated by taking a certain floor basement project as an example. As shown in the figure, the method for optimally designing the building structure of the embodiment of the invention is specifically realized by the following steps:
step 1: and summarizing unoptimized and optimized cases in practical application of a plurality of construction parties to establish a large database.
Step 2: and establishing a material dosage sensitive point library at the sensitive point position influencing the material dosage according to the result of material dosage sensitivity analysis on all cases in the large database. As shown in fig. 3, a library of material dose sensitive dots present in some of the big data is listed: column net form sub-base, basement top plate thickness sub-base, basement middle plate thickness sub-base, basement bottom plate thickness sub-base, foundation form sub-base, standard house type form sub-base, and the like. But it should be understood by those skilled in the art that: the material usage sensitive point sub-library established in the big database of the invention is far more than the above-mentioned examples, and is not limited to the basement project, but should be a material usage sensitive point sub-library formed by all sensitive point parts in various different projects and various unoptimized and optimized projects under natural conditions such as climate, geography and the like or under artificial convention conditions.
And 3, step 3: and (3) leading key parameters in the project scheme design data of the professional design technicians into the large database by professional optimization technicians, and obtaining a material usage sensitive point sub-library or sub-library combination suggestion which needs to be called by the project through the guidance of the database sensitive points. As shown in fig. 3, the key parameters to be imported are: the size of the column net is 8.1m by 8.1m, the thickness of the basement roof is 400mm, the thickness of the basement floor is 800mm, the foundation form is a raft foundation, and the column net is of project earthquake-resistant grade, load type, column section, concrete strength grade, embedded end, crack control requirement, steel bar grade and the like. Setting the sensitivity triggering condition that the material usage exceeds 5%, and according to the imported key parameters, displaying the result of the material usage sensitivity analysis that the 'column net type sub library', 'basement top plate thickness sub library', 'basement bottom plate thickness sub library', 'basic form sub library' and the like are necessarily called for further optimization, and other sub libraries are analyzed and judged by the system to belong to non-sensitive parameters in the project or not to be in the key parameter calling range, and then calling is not triggered. If the standard house type sub-library belongs to the overground part, no key parameter exists and the standard house type sub-library cannot be called; the project belongs to a basement on one floor, and the basement middle plate exists in two or more floors, so that the basement middle plate sub-warehouse can not be called. The system prompts that a better scheme exists in the system, such as a column net type sub-library, a basement top plate thickness sub-library, a basement bottom plate thickness sub-library and a basic type sub-library, and needs to be called and confirmed.
And 4, step 4: a professional optimization technician calls the recommended sub-library or the recommended sub-library combination, selects the technical measures and the corresponding quantization list used originally for triggering the called parameters and the recommended optimal technical measures and the corresponding quantization list in the system from the results, and compares the original and optimal technical measures with the corresponding quantization list to obtain the compared optimization result to be selected; as shown in fig. 3, the professional optimization technician confirms to call the related sub-libraries, and the system generates the technical measures adopted by the original scheme and the corresponding concrete and steel bar usage list, and gives guidance of the optimal technical measures. Such as: and the material consumption of the arranged secondary beam is optimal for the thickness of the top plate of the underground chamber. The optimal beam height and plate thickness are suggested as follows: the cross section size of the X-direction main beam is 650mm X950 mm, the cross section size of the Y-direction main beam is 400mm X800 mm, and the cross section size of the Y-direction secondary beam is 400mm X800 mm; the thickness of the top plate is 250 mm.
And 5, step 5: a professional optimization technician carries out secondary parameter input on an optimization result to be selected after comparing sensitive point parts, and a technical measure guidance and quantification list according with project conditions is manufactured; the skilled optimization technician identifies the parameters chosen, such as the top plate thickness, which was originally 400mm, now 250mm, and so on. The system generates an optimal technical measure guide file, a quantization list and comparison with an original scheme.
And 6, step 6: a professional optimization technician rechecks and confirms technical measure guidance and a quantization list; after information exchange is carried out between professional optimization technicians and professional design technicians, original scheme design data are modified until the project is completed; and (4) inputting the final project information including the quantization list into the big database by professional optimization technicians to complete information upgrading of the big data and the related sub-databases. And checking to check again, and modifying the original scheme after the professional optimization technicians communicate with the professional design technicians to be consistent, wherein the thickness of the top plate is changed into 250mm, the double beams are arranged, and the like until the project is finished. Original and final project information of the project is added to a large database, and the large database realizes information upgrading.
The method for optimally designing the building structure is different from the structure design, and can enable a product of the structure design to become or approach a whole set of optimized technical measures after optimization comparison of quantitative indexes by increasing the process control of third-party professional optimization technicians and calling a large database and a sensitive point position sub-library related to influencing the material consumption.
It should be noted that the structures, ratios, sizes, and the like shown in the drawings attached to the present specification are only used for matching the disclosure of the present specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions of the present invention, so that the present invention has no technical essence, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. An optimal design method of a building structure is characterized by comprising the following steps:
a project module for building a big database based on the unoptimized and optimized project information;
respectively establishing a material dosage sensitive point library for each sensitive point part influencing the material dosage through material dosage sensitivity analysis of the project module;
inputting relevant key parameters of a project to be optimized, and obtaining a material usage sensitive point sub-library or sub-library combined suggestion which needs to be called by the project through database sensitive point guidance;
calling the recommended sub-library or the sub-library combination, selecting the technical measures and the corresponding quantization lists which are originally used by the parameters triggering the calling and the recommended optimal technical measures and the corresponding quantization lists from the results, and comparing the original and optimal technical measures with the corresponding quantization lists to obtain the compared optimization results to be selected;
and selecting and confirming the optimization result to be selected, and generating a technical measure guidance and a quantitative list according with the project condition.
2. The method as claimed in claim 1, wherein the material usage sensitivity analysis is an analysis and comparison of specific external parameters for specific parts or parts combinations of material usage, and different technical measures and material usage changes are used when the external parameters change.
3. The method for optimizing design of building structure according to claim 2, wherein the result of the material usage sensitivity analysis comprises giving the magnitude of the influence of specific external parameters on specific portions or combinations of portions of the material usage when different technical measures are used, and judging whether to form the sensitive point portions according to the magnitude of the influence.
4. A method for the optimized design of building structures according to claim 3, characterized in that, the magnitude of said influence amplitude is determined by a preset threshold range, so that the corresponding specific part or part combination constitutes a sensitive point part.
5. The method for optimizing design of building structure according to claim 3, wherein the sub-library is provided with the results of material quantity sensitivity analysis using different technical measures when the key parameter is changed; and after the relevant key parameters of the project are obtained, indicating the optimal technical measures and the corresponding quantization list of the sensitive point parts according with the project situation in the established sub-library according to the result.
6. The method according to claim 1, wherein the proposed optimal technical measures and corresponding quantitative lists for each sub-library or sub-library combination are generated during the process of calling the sensitive point sites meeting the project conditions from the big database for comparison according to the proposed sub-libraries or sub-library combinations.
7. The method for optimizing design of a building structure according to claim 1 further comprising the steps of: and adding the original information and the final information of the project into a big database, and upgrading the information of the big database.
8. A method for the optimised design of a building structure according to any of claims 1 to 7, wherein the sub-libraries created for sensitive spot locations include any or any combination of the following: the system comprises a region sub-base, a load sub-base, an aspect ratio sub-base, a plane regularity sub-base, a building type sub-base, building type sub-bases with different grades, a concrete mark number and dosage sub-base, a steel bar model and dosage sub-base, a steel structure model and dosage sub-base, a column net form sub-base, a building height sub-base, a building floor number sub-base, a building floor height sub-base, a basement floor number sub-base, a basement floor height sub-base, a basement roof thickness sub-base, a basement middle plate thickness sub-base, a basement floor thickness sub-base, a foundation form sub-base, a standard house form sub-base, a new product and a new technology special sub-base with own intellectual property rights or with authorized intellectual property rights by other parties, and related optimization selection data.
9. A method for the optimised design of a building structure according to any of claims 1 to 7, wherein the key parameters include any or any combination of the following:
external factors of project structural indicators;
calculating the aperture and the area;
structural unification technical measures;
a reinforcement principle;
optimizing a target value or quota index;
and the parameters correspond to the sensitive point position sub-library names.
10. An optimal design system for a building structure, comprising:
a project module containing non-optimized and optimized project information;
the sub-library management module is used for establishing sub-libraries at the sensitive point positions influencing the material consumption respectively through the material consumption sensitivity analysis of the project module;
the sensitive point guiding module is used for acquiring relevant key parameters of the project to be optimized and obtaining a sub-library or sub-library combined suggestion of the sensitive point part according with the project condition through database sensitive point guiding;
the sensitive point comparison module is used for calling the sub-library or the sub-library combination recommended to be called, selecting the technical measures and the corresponding quantization list originally used by the parameters triggering the calling and the optimal technical measures and the corresponding quantization list recommended in the system from the results, and comparing the original and optimal technical measures with the corresponding quantization list to obtain the compared optimization result to be selected;
and the information generation module is used for generating a technical measure guidance and quantization list according with the project condition aiming at the optimization result to be selected.
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