JP6939995B2 - 金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置 - Google Patents

金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置 Download PDF

Info

Publication number
JP6939995B2
JP6939995B2 JP2020522089A JP2020522089A JP6939995B2 JP 6939995 B2 JP6939995 B2 JP 6939995B2 JP 2020522089 A JP2020522089 A JP 2020522089A JP 2020522089 A JP2020522089 A JP 2020522089A JP 6939995 B2 JP6939995 B2 JP 6939995B2
Authority
JP
Japan
Prior art keywords
metal material
corrosion
amount
period
predicting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
JP2020522089A
Other languages
English (en)
Japanese (ja)
Other versions
JPWO2020162098A1 (ja
Inventor
一浩 中辻
一浩 中辻
真孝 面田
真孝 面田
水野　大輔
大輔 水野
山口　収
収 山口
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
JFE Steel Corp
Original Assignee
JFE Steel Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by JFE Steel Corp filed Critical JFE Steel Corp
Publication of JPWO2020162098A1 publication Critical patent/JPWO2020162098A1/ja
Application granted granted Critical
Publication of JP6939995B2 publication Critical patent/JP6939995B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Environmental Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Testing Resistance To Weather, Investigating Materials By Mechanical Methods (AREA)
JP2020522089A 2019-02-08 2020-01-09 金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置 Active JP6939995B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2019021602 2019-02-08
JP2019021602 2019-02-08
PCT/JP2020/000519 WO2020162098A1 (fr) 2019-02-08 2020-01-09 Procédé pour générer un modèle de prédiction du niveau de corrosion d'un matériau métallique, procédé de prédiction du niveau de corrosion d'un matériau métallique, procédé de sélection d'un matériau métallique, programme de prédiction du niveau de corrosion d'un matériau métallique et dispositif de prédiction du niveau de corrosion d'un matériau métallique

Publications (2)

Publication Number Publication Date
JPWO2020162098A1 JPWO2020162098A1 (ja) 2021-02-18
JP6939995B2 true JP6939995B2 (ja) 2021-09-22

Family

ID=71947820

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020522089A Active JP6939995B2 (ja) 2019-02-08 2020-01-09 金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置

Country Status (2)

Country Link
JP (1) JP6939995B2 (fr)
WO (1) WO2020162098A1 (fr)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7104326B2 (ja) * 2018-09-27 2022-07-21 日本電信電話株式会社 腐食性評価装置とその方法
WO2021055296A1 (fr) * 2019-09-20 2021-03-25 Ams Trace Metals, Inc. Techniques de prévision et/ou de prévention de la dégradation et de la corrosion
US11579586B2 (en) * 2019-09-30 2023-02-14 Saudi Arabian Oil Company Robot dispatch and remediation of localized metal loss following estimation across piping structures
CN112348264A (zh) * 2020-11-10 2021-02-09 南京钢铁股份有限公司 一种基于随机森林算法的碳钢腐蚀速率预测方法
US20230065532A1 (en) * 2021-08-09 2023-03-02 Baker Hughes Holdings Llc Machine learning based techniques for predicting component corrosion likelihood

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH1021211A (ja) * 1996-06-28 1998-01-23 Taisei Corp ニューラルネットワークおよびコンクリート構造物中の鉄筋腐食の評価方法および予測方法
WO2003006957A1 (fr) * 2001-07-12 2003-01-23 Nippon Steel Corporation Procede de prediction du degre de corrosion d'un acier resistant aux intemperies
JP4706254B2 (ja) * 2003-12-26 2011-06-22 Ｊｆｅスチール株式会社 鋼材の寿命予測方法
JP5314087B2 (ja) * 2011-06-02 2013-10-16 日本電信電話株式会社 腐食解析システムおよび方法
JP5137270B2 (ja) * 2011-10-14 2013-02-06 四国電力株式会社 鉄筋コンクリート構造物の腐食劣化進行予測方法
US11467082B2 (en) * 2018-01-05 2022-10-11 Jfe Steel Corporation Method for predicting corrosion loss of metal material, method for selecting metal material, and device for predicting corrosion loss of metal material

Also Published As

Publication number Publication date
WO2020162098A1 (fr) 2020-08-13
JPWO2020162098A1 (ja) 2021-02-18

Similar Documents

Publication Publication Date Title
JP6939995B2 (ja) 金属材料の腐食量予測モデルの生成方法、金属材料の腐食量予測方法、金属材料の選定方法、金属材料の腐食量予測プログラムおよび金属材料の腐食量予測装置
Bulthuis et al. Uncertainty quantification of the multi-centennial response of the Antarctic ice sheet to climate change
Wan et al. Probabilistic forecasting of wind power generation using extreme learning machine
Taylor Smooth transition exponential smoothing
Galvão Changes in predictive ability with mixed frequency data
Lima et al. Time series forecasting using Holt-Winters exponential smoothing: An application to economic data
Tramblay et al. Extreme value modelling of daily areal rainfall over Mediterranean catchments in a changing climate
JP6566172B1 (ja) 金属材料の腐食量予測方法、金属材料の選定方法および金属材料の腐食量予測装置
Jensen Extreme value predictions using Monte Carlo simulations with artificially increased load spectrum
JP5261740B2 (ja) コンクリート構造物の中性化深さ予測装置および中性化深さをコンピュータに計算させるためのプログラム
Fathian et al. Multiple streamflow time series modeling using VAR–MGARCH approach
Chen et al. Bayesian estimation of realized GARCH-type models with application to financial tail risk management
Bessec et al. Forecasting GDP over the Business Cycle in a Multi‐Frequency and Data‐Rich Environment
Gradeci et al. A probabilistic-based approach for predicting mould growth in timber building envelopes: Comparison of three mould models
Gül et al. Nonstationarity in flood time series
WO2020234921A1 (fr) Procédé de traitement d'équations de prédiction et dispositif de traitement d'équations de prédiction
Coffie et al. Modelling construction completion cost in Ghana public sector building projects
JP5738140B2 (ja) 物質の放出量推定装置及びその方法並びにプログラム
Lilleleht et al. Spatial forest structure reconstruction as a strategy for mitigating edge-bias in circular monitoring plots
Fonseca et al. Bimodal Birnbaum–Saunders generalized autoregressive score model
Văidean On financial performance and capital structure of Romanian companies
JP6694124B1 (ja) 時系列データの前処理プログラム及び前処理方法
Sarkar et al. Incorporation of Exogenous Variable in Long Memory Model: An ARFIMAX-GARCH Framework
Molkenthin et al. Sensitivity of probabilistic seismic hazard obtained by algorithmic differentiation: A feasibility study
Naeini et al. Can you trust a model whose output keeps changing? Interpreting changes in the social cost of carbon produced by the DICE model

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20200417

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20210309

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20210409

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20210803

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20210816

R150 Certificate of patent or registration of utility model

Ref document number: 6939995

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150