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Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 356-368 doi: 10.1007/s11709-013-0220-z

Abstract: The concept of structural robustness and relevant design guidelines have been in existence in the progressiveapartment building; however, in the more general context, research on the evaluation and enhancement of structuralrobustness is still relatively limited.This paper is aimed to provide a general overview of the current state of research concerning structuralrobustness.

Keywords： structural robustness     abnormal exposure     vulnerability     collapse     consequence    

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Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Frontiers of Engineering Management   Pages 5-19 doi: 10.1007/s42524-022-0229-x

Abstract: In today’s turbulent and complex business environment, supply chain resilience and robustness as twoAccordingly, this study intends to explore how digitalization helps build supply chain resilience and robustnessUsing survey data of Chinese manufacturing firms, the study applied structural equation modelling tosupply chain resilience, and supply chain collaboration can directly facilitate both resilience and robustnessresilience and an indirect-only mediation effect on the relationship between digitalization and supply chain robustness

Keywords： digitalization     supply chain     resilience     robustness     collaboration     formal contract    

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A method for improve the mechanical robustness of the superhydrophobic wood

Wang Chengyu and Liu Feng

Strategic Study of CAE 2014, Volume 16, Issue 4,   Pages 79-82

Abstract:

Improvement of the robustness of superhydrophobic surface is crucialrepellency toward water，low sliding angles，low contact angle hysteresis，and relatively better mechanical robustness

Keywords： superhydrophobic     mechanical robustness     PVA/SiO2     wood surface    

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Study of the robustness of a low-temperature dual-pressure process for removal of CO

Stefania Moioli, Laura A. Pellegrini, Paolo Vergani, Fabio Brignoli

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 2,   Pages 209-225 doi: 10.1007/s11705-017-1688-1

Abstract: The robustness of the process has been studied by dynamic simulation of an industrial-scale plant, with

Keywords： CO2 capture     innovative process     cryogenic distillation     dynamic simulation     solid-liquid-vapor equilibrium    

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Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 66-70

Abstract: Further more, the influence of PID - GPC parameter tuning on its robustness is analyzed in frequency

Keywords： predictive control     robustness     frequency domain     small-gain criterion     PID control    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters     damping identification method     input excitation force identification     Inverse    

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Reliability-based design for automobiles in China

ZHANG Yimin

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 369-374 doi: 10.1007/s11465-008-0064-8

Abstract: For reliability-based design, the theories and practices, optimization, sensitivity, and robustness are

Keywords： reliability-based     automobile     sensitivity     optimization     robustness    

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering   Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure     green roof     structural resilience     seismic design    

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Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 321-333 doi: 10.1007/s11709-012-0161-y

Abstract: This paper presents an overview of development of an integrated structural health monitoring system.The integrated system includes vibration and guided-wave based structural health monitoring.system under operational conditions and structural evaluation.The study is mainly focused on developing: integrated sensor technology, integrated structural damageidentification with operational loads monitoring, and integrated structural evaluation with results

Keywords： integrated structural health monitoring     operational conditions     vibration and guided wave    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: This paper presents a new approach for automatical classification of structural state through deep learningextraction and classification blocks into an intelligent and compact learning system and detect the structuralstate of a steel frame; the input was a series of vibration signals, and the output was a structuralIt is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1331-1348 doi: 10.1007/s11709-020-0686-4

Abstract: Regression surfaces between the structural parameters and structural output features, represented byAn inverse iterative process is then applied to identify the structural parameters by matching the experimentalthe proposed method will have practical applications in the identification and analysis of restored structural

Keywords： structural model validation     eigenvalue problem     response surface     inverse problems    

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Advanced analysis for structural steel building design

CHEN Wai Fah

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 189-196 doi: 10.1007/s11709-008-0024-8

Abstract: The 2005 AISC LRFD Specifications for Structural Steel Buildings are making it possible for designersto recognize explicitly the structural resistance provided within the elastic and inelastic ranges ofawareness of the need for practical second-order analysis approaches for a direct determination of overall structural

Keywords： building     Specifications     comprehensive introduction     structural resistance     traditional    

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Towards robust neural networks via a global and monotonically decreasing robustness training strategy Research Article

Zhen LIANG, Taoran WU, Wanwei LIU, Bai XUE, Wenjing YANG, Ji WANG, Zhengbin PANG,liangzhen@nudt.edu.cn,wwliu@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1375-1389 doi: 10.1631/FITEE.2300059

Abstract: Robustness of deep neural networks (DNNs) has caused great concerns in the academic and industrial communitiesInstead of verifying whether the robustness property holds or not in certain neural networks, this paperthat takes multiple perturbations into account during each training epoch (), and the corresponding robustnessthe original s, which means that our presented training strategy gives more balanced consideration to robustness

Keywords： Robust neural networks     Training method     Drawdown risk     Global robustness training     Monotonically decreasingrobustness    

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Estimation of optimum design of structural systems via machine learning

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1441-1452 doi: 10.1007/s11709-021-0774-0

Abstract: Three different structural engineering designs were investigated to determine optimum design variablesTo explore the estimation success of ANN models, different test cases were proposed for the three structural

Keywords： optimization     metaheuristic algorithms     harmony search     structural designs     machine learning     artificial    

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Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 425-437 doi: 10.1007/s11709-017-0427-5

Abstract: In the second step, having the structural destructions of the first step in view, a pushdown analysiswas carried out to determine the severity of progressive collapse and assess building robustness.Finally, the annual probability of structural collapse under simultaneous earthquake and blast loads

Keywords： gas blast     pushdown analysis     progressive collapse     annual probability of structural collapse     3D model of    

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Title Author Date Type Operation

Assessment of robustness of structures: Current state of research

Colin BRETT, Yong LU

Journal Article

Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts

Journal Article

A method for improve the mechanical robustness of the superhydrophobic wood

Wang Chengyu and Liu Feng

Journal Article

Study of the robustness of a low-temperature dual-pressure process for removal of CO

Stefania Moioli, Laura A. Pellegrini, Paolo Vergani, Fabio Brignoli

Journal Article

Frequency-domain-based Robustness Analysis for PID Generalized Predictive Control

Wang Fanzhen,Chen Zengqiang,Yao Xiangfeng,Yuan Zhuzhi

Journal Article

Approximation of structural damping and input excitation force

Mohammad SALAVATI

Journal Article

Reliability-based design for automobiles in China

ZHANG Yimin

Journal Article

Effects of green roof damping and configuration on structural seismic response

Journal Article

Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Identification of structural parameters and boundary conditions using a minimum number of measurement

Ali KARIMPOUR, Salam RAHMATALLA

Journal Article

Advanced analysis for structural steel building design

CHEN Wai Fah

Journal Article

Towards robust neural networks via a global and monotonically decreasing robustness training strategy

Zhen LIANG, Taoran WU, Wanwei LIU, Bai XUE, Wenjing YANG, Ji WANG, Zhengbin PANG,liangzhen@nudt.edu.cn,wwliu@nudt.edu.cn

Journal Article

Estimation of optimum design of structural systems via machine learning

Journal Article

Proposal of a probabilistic assessment of structural collapse concomitantly subject to earthquake and

Gholamreza ABDOLLAHZADEH, Hadi FAGHIHMALEKI

Journal Article