CN114580050A - Axle coupling dynamic analysis system based on various complex mechanical effects - Google Patents

Axle coupling dynamic analysis system based on various complex mechanical effects Download PDF

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CN114580050A
CN114580050A CN202111584474.1A CN202111584474A CN114580050A CN 114580050 A CN114580050 A CN 114580050A CN 202111584474 A CN202111584474 A CN 202111584474A CN 114580050 A CN114580050 A CN 114580050A
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bridge structure
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CN114580050B (en
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朱力
赵冠远
霍金鑫
季鑫霖
刘一迪
赵利佳
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Beijing Jiaotong University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention discloses an axle coupling dynamic analysis system based on various complex mechanical effects, which relates to the technical field of axle coupling dynamic analysis, solves the technical problem that the bridge structure cannot be analyzed in real time in the prior art, analyzes a train which is put into operation and passes through the bridge in real time, judges the running state of the train passing through in real time, judges the influence of the train passing through in real time on the bridge structure, and judges whether the influence degree of the bridge structure is qualified or not, thereby improving the operation efficiency of the bridge structure and the safety performance of train passing; the method comprises the steps of analyzing a bridge structure where a train passes in real time, and judging the influence generated when an analysis object passes through a bridge, so that the bridge structure is in a real-time state, and the increase of train passing risks caused by the abnormal bridge structure is prevented; the method has the advantages that the composite beam in the bridge structure is analyzed in real time, and the influence of train passing on the composite beam is judged, so that the stability of the composite beam of the bridge structure is detected, and the safety performance of the bridge structure is improved.

Description

Axle coupling dynamic analysis system based on various complex mechanical effects
Technical Field
The invention relates to the technical field of axle coupling dynamic analysis, in particular to an axle coupling dynamic analysis system based on various complex mechanical effects.
Background
The steel-concrete combined box girder has the advantages of light self weight, strong spanning capability, large torsional rigidity and the like, and is widely applied to the construction of highway bridges and railway bridges. The internal forces borne in the operation process of the bridge structure comprise axial force, shearing force, bending moment, torque and the like, the section of the combined box type beam generates obvious longitudinal warping and distortion deformation when being twisted, the concrete top plate and the steel beam bottom plate can also show obvious shearing force stagnation behaviors when the structure is wider, the specific slippage behavior of the combined beam can be generated on the interface, and the slippage behavior is characterized in that the interface is easy to transversely slip when the structure is twisted besides typical interface longitudinal slippage; therefore, the study on the complex space stress characteristic of the composite beam is particularly important for the popularization and the application of the structural form in engineering.
However, in the prior art, the bridge structure cannot be analyzed in real time, so that the state of the bridge structure cannot be accurately acquired, and the traffic risk is increased; meanwhile, the combined beam in the bridge structure cannot be analyzed, so that the safety performance of the bridge structure is reduced.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems and provides an axle coupling dynamic analysis system based on various complex mechanical effects, which analyzes a train which is put into operation and through which a bridge passes in real time, so as to judge the running state of the train passing through in real time, judge the influence of the train on a bridge structure passing through in real time, and judge whether the influence degree of the bridge structure is qualified, thereby improving the operation efficiency of the bridge structure and the safety performance of train passing; the method comprises the steps of analyzing a bridge structure where a train passes in real time, and judging the influence generated when an analysis object passes through a bridge, so that the bridge structure is in a real-time state, and the increase of train passing risks caused by the abnormal bridge structure is prevented; the composite beam in the bridge structure is analyzed in real time, and the influence of train passing on the composite beam is judged, so that the stability of the composite beam of the bridge structure is detected, and the safety performance of the bridge structure is improved.
The purpose of the invention can be realized by the following technical scheme:
an axle coupling power analysis system based on various complex mechanical effects comprises an axle coupling power analysis platform, wherein a server is arranged in the axle coupling power analysis platform, and the server is in communication connection with a train operation analysis unit, a train unbalance loading analysis unit and a combination beam analysis unit;
the axle coupling power analysis platform is used for analyzing stress of the bridge structure in the operation process, the server generates a train operation analysis signal and sends the train operation analysis signal to the train operation analysis unit, and the train operation analysis unit analyzes a train which is put into operation and passes through the bridge in real time; generating an analysis signal and an analysis object through analysis, sending the analysis signal and the analysis object to a server, generating an offset load analysis signal and sending the offset load analysis signal to a train offset load analysis unit after the server receives the analysis signal and the analysis object, and carrying out real-time analysis through a bridge structure where trains pass through by the train offset load analysis unit; the server generates a combined beam analysis signal and sends the combined beam analysis signal to the combined beam analysis unit, and the combined beam in the bridge structure is analyzed in real time through the combined beam analysis unit.
As a preferred embodiment of the present invention, a train operation analyzing process of the train operation analyzing unit is as follows:
setting a mark i of a real-time passing train as a natural number more than 1, acquiring the neutralization of the bearing weight of the real-time passing train and the train weight, marking the neutralization of the bearing weight of the real-time passing train and the train weight as ZLi, acquiring the passing speed and the average passing speed acceleration of the real-time passing train, and respectively marking the passing speed and the average passing speed acceleration of the real-time passing train as SDi and JSi;
by the formula
Figure 930905DEST_PATH_IMAGE002
Acquiring a running analysis coefficient Xi of the real-time passing train, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and takes the value of 1.53;
comparing the operation analysis coefficient of the real-time passing train with an operation analysis coefficient threshold value:
if the operation analysis coefficient of the real-time passing train is larger than or equal to the operation analysis coefficient threshold value, judging that the operation analysis of the corresponding real-time passing train is abnormal, generating an analysis signal, marking the corresponding real-time passing train as an analysis object, and sending the analysis signal and the analysis object to a server together; and if the running analysis coefficient of the real-time passing train is smaller than the running analysis coefficient threshold value, judging that the running analysis of the corresponding real-time passing train is normal, generating a non-analysis signal, marking the corresponding real-time passing train as a non-analysis object, and sending the non-analysis signal and the non-analysis object to the server together.
As a preferred embodiment of the present invention, the unbalance loading process of the train unbalance loading analysis unit is as follows:
the method comprises the following steps of marking a bridge structure which a real-time passing train passes as an analysis object, collecting longitudinal pressure generated by wheels in the analysis object and transverse sliding distance generated by the bridge structure when the real-time passing train passes, and comparing the longitudinal pressure generated by the wheels in the analysis object and the transverse sliding distance generated by the bridge structure with a longitudinal pressure threshold value and a transverse sliding distance threshold value respectively when the real-time passing train passes:
if the longitudinal pressure generated by wheels in the analysis object exceeds a longitudinal pressure threshold value when the real-time passing train passes through, and the transverse sliding distance generated by the bridge structure exceeds a transverse sliding distance threshold value, judging that the unbalance loading analysis is unqualified, generating a bridge maintenance signal and sending the bridge maintenance signal to a server; and if the longitudinal pressure generated by the wheels in the analysis object does not exceed the longitudinal pressure threshold value when the real-time passing train passes through the analysis object and the transverse sliding distance generated by the bridge structure does not exceed the transverse sliding distance threshold value, judging that the unbalance loading analysis is qualified, generating a normal bridge signal and sending the normal bridge signal to the server.
As a preferred embodiment of the present invention, the composite beam analysis process of the composite beam analysis unit is as follows:
acquiring longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes, and analyzing the longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes respectively with a longitudinal normal stress threshold and an average bearing capacity threshold:
if the longitudinal normal stress of the combination beam after generating the constraint torque exceeds a longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam exceeds an average bearing capacity threshold value during real-time train passing, judging that the corresponding combination beam has influence, generating a combination beam influence signal and sending the combination beam influence signal to a server; after receiving the combined beam influence signal, the server generates a combined beam maintenance signal and sends the combined beam maintenance signal to a mobile phone terminal of a manager;
if the longitudinal normal stress generated by the combination beam after generating the constraint torque does not exceed the longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam does not exceed the average bearing capacity threshold value during real-time train passing, judging that no influence exists on the corresponding combination beam, generating a no-influence signal of the combination beam and sending the no-influence signal of the combination beam to the server.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the train which is put into operation and passes through the bridge in real time is analyzed, so that the running state of the train passing through in real time is judged, the influence of the train passing through in real time on the bridge structure is judged, and whether the influence degree of the bridge structure is qualified or not is judged, thereby improving the operation efficiency of the bridge structure and the safety performance of train passing; the method comprises the steps of analyzing a bridge structure where a train passes in real time, and judging the influence generated when an analysis object passes through a bridge, so that the bridge structure is in a real-time state, and the increase of train passing risks caused by the abnormal bridge structure is prevented; the composite beam in the bridge structure is analyzed in real time, and the influence of train passing on the composite beam is judged, so that the stability of the composite beam of the bridge structure is detected, and the safety performance of the bridge structure is improved.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an axle coupling power analysis system based on various complex mechanical effects includes an axle coupling power analysis platform, a server is disposed in the axle coupling power analysis platform, and the server is in communication connection with a train operation analysis unit, a train unbalance loading analysis unit and a combination beam analysis unit;
axle coupling dynamic analysis platform is used for the atress of bridge construction operation process to carry out the analysis, the server generates train operation analysis signal and sends train analysis signal to train operation analysis unit, train operation analysis unit is used for going into the real-time train that passes through of bridge of operation and carries out the analysis, thereby judge the running state that passes through the train in real time, judge the influence of real-time train to bridge construction through, judge whether qualified bridge construction influence degree, thereby the operation efficiency and the current security performance of train of bridge construction have been improved, concrete train operation analysis process is as follows:
setting a mark i of a real-time passing train as a natural number more than 1, acquiring the neutralization of the bearing weight of the real-time passing train and the train weight, marking the neutralization of the bearing weight of the real-time passing train and the train weight as ZLi, acquiring the passing speed and the average passing speed acceleration of the real-time passing train, and respectively marking the passing speed and the average passing speed acceleration of the real-time passing train as SDi and JSi;
by the formula
Figure 682960DEST_PATH_IMAGE003
Acquiring a running analysis coefficient Xi of the real-time passing train, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and takes the value of 1.53;
comparing the operation analysis coefficient of the real-time passing train with an operation analysis coefficient threshold value:
if the operation analysis coefficient of the real-time passing train is larger than or equal to the operation analysis coefficient threshold value, judging that the operation analysis of the corresponding real-time passing train is abnormal, generating an analysis signal, marking the corresponding real-time passing train as an analysis object, and sending the analysis signal and the analysis object to a server together; if the operation analysis coefficient of the real-time passing train is smaller than the operation analysis coefficient threshold value, judging that the operation analysis of the corresponding real-time passing train is normal, generating a non-analysis signal, marking the corresponding real-time passing train as a non-analysis object, and sending the non-analysis signal and the non-analysis object to a server together;
after the server receives the analysis signal and the analysis object, an unbalance loading analysis signal is generated and sent to the train unbalance loading analysis unit, the train unbalance loading analysis unit is used for carrying out real-time analysis on a passing bridge structure of a train, and the influence generated when the analysis object passes through the bridge is judged, so that the bridge structure is subjected to a real-time state, the phenomenon that the passing risk of the train is increased due to the abnormal bridge structure is prevented, and the specific unbalance loading process is as follows:
the method comprises the following steps of marking a bridge structure which a real-time passing train passes as an analysis object, collecting longitudinal pressure generated by wheels in the analysis object and transverse sliding distance generated by the bridge structure when the real-time passing train passes, and comparing the longitudinal pressure generated by the wheels in the analysis object and the transverse sliding distance generated by the bridge structure with a longitudinal pressure threshold value and a transverse sliding distance threshold value respectively when the real-time passing train passes:
if the longitudinal pressure generated by wheels in the analysis object exceeds a longitudinal pressure threshold value when the real-time passing train passes through, and the transverse sliding distance generated by the bridge structure exceeds a transverse sliding distance threshold value, judging that the unbalance loading analysis is unqualified, generating a bridge maintenance signal and sending the bridge maintenance signal to a server; if the longitudinal pressure generated by wheels in the analysis object does not exceed a longitudinal pressure threshold value when the real-time passing train passes through the analysis object and the transverse sliding distance generated by the bridge structure does not exceed a transverse sliding distance threshold value, judging that the unbalance loading analysis is qualified, generating a normal bridge signal and sending the normal bridge signal to a server;
the server receives and generates combination beam analysis signal and sends combination beam analysis signal to combination beam analysis unit after the normal signal of bridge, and combination beam analysis unit is used for carrying out real-time analysis to combination beam in the bridge construction, judges the influence of train current to combination beam to detect bridge construction combination beam's stability, improved bridge construction's security performance, concrete combination beam analytic process is as follows:
acquiring longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes, and analyzing the longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes respectively with a longitudinal normal stress threshold and an average bearing capacity threshold:
if the longitudinal normal stress of the combination beam after generating the constraint torque exceeds a longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam exceeds an average bearing capacity threshold value during real-time train passing, judging that the corresponding combination beam has influence, generating a combination beam influence signal and sending the combination beam influence signal to a server; after receiving the combined beam influence signal, the server generates a combined beam maintenance signal and sends the combined beam maintenance signal to a mobile phone terminal of a manager;
if the longitudinal normal stress generated by the combination beam after generating the constraint torque does not exceed the longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam does not exceed the average bearing capacity threshold value during real-time train passing, judging that no influence exists on the corresponding combination beam, generating a no-influence signal of the combination beam and sending the no-influence signal of the combination beam to the server.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the system is used, the stress of the bridge structure operation process of the axle coupling dynamic analysis platform is analyzed, the server generates a train operation analysis signal and sends the train operation analysis signal to the train operation analysis unit, and the train which is put into operation and passes through the bridge in real time is analyzed by the train operation analysis unit; generating an analysis signal and an analysis object through analysis, sending the analysis signal and the analysis object to a server, generating an offset load analysis signal and sending the offset load analysis signal to a train offset load analysis unit after the server receives the analysis signal and the analysis object, and carrying out real-time analysis through a bridge structure where trains pass through by the train offset load analysis unit; the server generates a combined beam analysis signal and sends the combined beam analysis signal to the combined beam analysis unit, and the combined beam in the bridge structure is analyzed in real time through the combined beam analysis unit.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (4)

1. An axle coupling power analysis system based on various complex mechanical effects is characterized by comprising an axle coupling power analysis platform, wherein a server is arranged in the axle coupling power analysis platform, and the server is in communication connection with a train operation analysis unit, a train unbalance loading analysis unit and a combination beam analysis unit;
the axle coupling power analysis platform is used for analyzing stress of the bridge structure in the operation process, the server generates a train operation analysis signal and sends the train operation analysis signal to the train operation analysis unit, and the train operation analysis unit analyzes a train which is put into operation and passes through the bridge in real time; generating an analysis signal and an analysis object through analysis, sending the analysis signal and the analysis object to a server, generating an offset load analysis signal and sending the offset load analysis signal to a train offset load analysis unit after the server receives the analysis signal and the analysis object, and carrying out real-time analysis through a bridge structure where trains pass through by the train offset load analysis unit; the server generates a combined beam analysis signal and sends the combined beam analysis signal to the combined beam analysis unit, and the combined beam in the bridge structure is analyzed in real time through the combined beam analysis unit.
2. The axle coupling dynamic analysis system based on various complex mechanical effects according to claim 1, wherein the train operation analysis process of the train operation analysis unit is as follows:
setting a mark i of a real-time passing train as a natural number more than 1, acquiring the neutralization of the bearing weight of the real-time passing train and the train weight, marking the neutralization of the bearing weight of the real-time passing train and the train weight as ZLi, acquiring the passing speed and the average passing speed acceleration of the real-time passing train, and respectively marking the passing speed and the average passing speed acceleration of the real-time passing train as SDi and JSi;
by the formula
Figure 760534DEST_PATH_IMAGE002
Acquiring a running analysis coefficient Xi of the real-time passing train, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is more than a2 is more than a3 is more than 0, and beta is an error correction factor and takes the value of 1.53;
comparing the operation analysis coefficient of the real-time passing train with an operation analysis coefficient threshold value:
if the operation analysis coefficient of the real-time passing train is larger than or equal to the operation analysis coefficient threshold value, judging that the operation analysis of the corresponding real-time passing train is abnormal, generating an analysis signal, marking the corresponding real-time passing train as an analysis object, and sending the analysis signal and the analysis object to a server together; and if the operation analysis coefficient of the real-time passing train is smaller than the operation analysis coefficient threshold value, judging that the operation analysis of the corresponding real-time passing train is normal, generating a non-analysis signal, marking the corresponding real-time passing train as a non-analysis object, and sending the non-analysis signal and the non-analysis object to the server together.
3. The axle coupling dynamic analysis system based on various complex mechanical effects as claimed in claim 1, wherein the unbalance loading process of the train unbalance loading analysis unit is as follows:
the method comprises the following steps of marking a bridge structure which a real-time passing train passes as an analysis object, collecting longitudinal pressure generated by wheels in the analysis object and transverse sliding distance generated by the bridge structure when the real-time passing train passes, and comparing the longitudinal pressure generated by the wheels in the analysis object and the transverse sliding distance generated by the bridge structure with a longitudinal pressure threshold value and a transverse sliding distance threshold value respectively when the real-time passing train passes:
if the longitudinal pressure generated by wheels in the analysis object exceeds a longitudinal pressure threshold value when the real-time passing train passes through, and the transverse sliding distance generated by the bridge structure exceeds a transverse sliding distance threshold value, judging that the unbalance loading analysis is unqualified, generating a bridge maintenance signal and sending the bridge maintenance signal to a server; and if the longitudinal pressure generated by the wheels in the analysis object does not exceed the longitudinal pressure threshold value when the real-time passing train passes through the analysis object and the transverse sliding distance generated by the bridge structure does not exceed the transverse sliding distance threshold value, judging that the unbalance loading analysis is qualified, generating a normal bridge signal and sending the normal bridge signal to the server.
4. The axle coupling dynamic analysis system based on various complex mechanical effects as claimed in claim 1, wherein the combined beam analysis process of the combined beam analysis unit is as follows:
acquiring longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes, and analyzing the longitudinal normal stress after the combination beam generates the constraint torque and the average bearing capacity of each fiber beam unit of the combination beam when the real-time train passes respectively with a longitudinal normal stress threshold and an average bearing capacity threshold:
if the longitudinal normal stress of the combination beam after generating the constraint torque exceeds a longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam exceeds an average bearing capacity threshold value during real-time train passing, judging that the corresponding combination beam has influence, generating a combination beam influence signal and sending the combination beam influence signal to a server; after receiving the combined beam influence signal, the server generates a combined beam maintenance signal and sends the combined beam maintenance signal to a mobile phone terminal of a manager;
if the longitudinal normal stress generated by the combination beam after generating the constraint torque does not exceed the longitudinal normal stress threshold value and the average bearing capacity of each fiber beam unit of the combination beam does not exceed the average bearing capacity threshold value during real-time train passing, judging that no influence exists on the corresponding combination beam, generating a no-influence signal of the combination beam and sending the no-influence signal of the combination beam to the server.
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Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100877587B1 (en) * 2007-07-07 2009-01-07 인터콘시스템스 주식회사 Control system for safety operation of train
CN103164576A (en) * 2013-03-12 2013-06-19 天津市市政工程设计研究院 Bridge automobile load effect analytical method
US20150009331A1 (en) * 2012-02-17 2015-01-08 Balaji Venkatraman Real time railway disaster vulnerability assessment and rescue guidance system using multi-layered video computational analytics
WO2019201176A1 (en) * 2018-04-17 2019-10-24 江苏必得科技股份有限公司 Method and device for predicting crack damage of train component
CN111144039A (en) * 2019-12-04 2020-05-12 东南大学 Train dynamic weighing system and weighing method based on deep learning
KR102116890B1 (en) * 2019-11-07 2020-05-29 주식회사 지에스지 Mobile rail/track defect real-time analysis and monitoring system and method using wireless accelerometer
CN111324982A (en) * 2020-02-26 2020-06-23 西南交通大学 Method for judging running safety of trains on bridge in wind and rain environment
CN111428406A (en) * 2020-03-23 2020-07-17 北京交通大学 Method for estimating corrugation wavelength and corrugation depth of inner rail of small-radius curve of steel rail
CN111985084A (en) * 2020-07-24 2020-11-24 华设设计集团股份有限公司 Bridge mechanics real-time analysis method based on finite variables
CN112581056A (en) * 2020-12-15 2021-03-30 神华铁路装备有限责任公司 Railway wagon running state monitoring system
CN113203587A (en) * 2021-06-08 2021-08-03 北京交通大学 System for high-speed train complex operation condition comprehensive simulation test

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100877587B1 (en) * 2007-07-07 2009-01-07 인터콘시스템스 주식회사 Control system for safety operation of train
US20150009331A1 (en) * 2012-02-17 2015-01-08 Balaji Venkatraman Real time railway disaster vulnerability assessment and rescue guidance system using multi-layered video computational analytics
CN103164576A (en) * 2013-03-12 2013-06-19 天津市市政工程设计研究院 Bridge automobile load effect analytical method
WO2019201176A1 (en) * 2018-04-17 2019-10-24 江苏必得科技股份有限公司 Method and device for predicting crack damage of train component
KR102116890B1 (en) * 2019-11-07 2020-05-29 주식회사 지에스지 Mobile rail/track defect real-time analysis and monitoring system and method using wireless accelerometer
CN111144039A (en) * 2019-12-04 2020-05-12 东南大学 Train dynamic weighing system and weighing method based on deep learning
CN111324982A (en) * 2020-02-26 2020-06-23 西南交通大学 Method for judging running safety of trains on bridge in wind and rain environment
CN111428406A (en) * 2020-03-23 2020-07-17 北京交通大学 Method for estimating corrugation wavelength and corrugation depth of inner rail of small-radius curve of steel rail
CN111985084A (en) * 2020-07-24 2020-11-24 华设设计集团股份有限公司 Bridge mechanics real-time analysis method based on finite variables
CN112581056A (en) * 2020-12-15 2021-03-30 神华铁路装备有限责任公司 Railway wagon running state monitoring system
CN113203587A (en) * 2021-06-08 2021-08-03 北京交通大学 System for high-speed train complex operation condition comprehensive simulation test

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
冯读贝;杨吉忠;胡连军;: "列车-轨道-桥梁相互作用分布式仿真平台的研发", 高速铁路技术, no. 01, pages 76 - 80 *
朱力等: "曲线钢-混凝土组合箱形梁的约束扭转、畸变和界面双向滑移效应", 建筑结构学报, pages 299 - 307 *
闫志刚;岳青;施洲;: "沪通长江大桥健康监测系统设计", 桥梁建设, no. 04, pages 10 - 15 *

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