Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis

Semi-active isolation systems with controllable stiffness have been widely developed in the field of seismic mitigation. Most systems with controllable stiffness perform more robustly and effectively for far-field earthquakes than for near-fault earthquakes. Consequently, a comprehensive system that...

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Autores principales:	Tzu-Kang Lin, Tappiti Chandrasekhara, Zheng-Jia Liu, Ko-Yi Chen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	semi-active control near-fault earthquake ground motion characteristics potential energy Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/d13db92f50964d17a1ead236c26bc3c0
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spelling	oai:doaj.org-article:d13db92f50964d17a1ead236c26bc3c02021-11-25T18:59:08ZVerification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis10.3390/s212277641424-8220https://doaj.org/article/d13db92f50964d17a1ead236c26bc3c02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7764https://doaj.org/toc/1424-8220Semi-active isolation systems with controllable stiffness have been widely developed in the field of seismic mitigation. Most systems with controllable stiffness perform more robustly and effectively for far-field earthquakes than for near-fault earthquakes. Consequently, a comprehensive system that provides comparable reductions in seismic responses to both near-fault and far-field excitations is required. In this regard, a new algorithm called Feed-Forward Predictive Earthquake Energy Analysis (FPEEA) is proposed to identify the ground motion characteristics of and reduce the structural responses to earthquakes. The energy distribution of the seismic velocity spectrum is considered, and the balance between the kinetic energy and potential energy is optimized to reduce the seismic energy. To demonstrate the performance of the FPEEA algorithm, a two-degree-of-freedom structure was used as the benchmark in the numerical simulation. The peak structural responses under two near-fault and far-field earthquakes of different earthquake intensities were simulated. The isolation layer displacement was suppressed most by the FPEEA, which outperformed the other three control methods. Moreover, superior control on superstructure acceleration was also supported by the FPEEA. Experimental verification was then conducted with shaking table test, and the satisfactory performance of the FPEEA on both isolation layer displacement and superstructure acceleration was demonstrated again. In summary, the proposed FPEEA has potential for practical application to unexpected near-fault and far-field earthquakes.Tzu-Kang LinTappiti ChandrasekharaZheng-Jia LiuKo-Yi ChenMDPI AGarticlesemi-active controlnear-fault earthquakeground motion characteristicspotential energyChemical technologyTP1-1185ENSensors, Vol 21, Iss 7764, p 7764 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	semi-active control near-fault earthquake ground motion characteristics potential energy Chemical technology TP1-1185
spellingShingle	semi-active control near-fault earthquake ground motion characteristics potential energy Chemical technology TP1-1185 Tzu-Kang Lin Tappiti Chandrasekhara Zheng-Jia Liu Ko-Yi Chen Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
description	Semi-active isolation systems with controllable stiffness have been widely developed in the field of seismic mitigation. Most systems with controllable stiffness perform more robustly and effectively for far-field earthquakes than for near-fault earthquakes. Consequently, a comprehensive system that provides comparable reductions in seismic responses to both near-fault and far-field excitations is required. In this regard, a new algorithm called Feed-Forward Predictive Earthquake Energy Analysis (FPEEA) is proposed to identify the ground motion characteristics of and reduce the structural responses to earthquakes. The energy distribution of the seismic velocity spectrum is considered, and the balance between the kinetic energy and potential energy is optimized to reduce the seismic energy. To demonstrate the performance of the FPEEA algorithm, a two-degree-of-freedom structure was used as the benchmark in the numerical simulation. The peak structural responses under two near-fault and far-field earthquakes of different earthquake intensities were simulated. The isolation layer displacement was suppressed most by the FPEEA, which outperformed the other three control methods. Moreover, superior control on superstructure acceleration was also supported by the FPEEA. Experimental verification was then conducted with shaking table test, and the satisfactory performance of the FPEEA on both isolation layer displacement and superstructure acceleration was demonstrated again. In summary, the proposed FPEEA has potential for practical application to unexpected near-fault and far-field earthquakes.
format	article
author	Tzu-Kang Lin Tappiti Chandrasekhara Zheng-Jia Liu Ko-Yi Chen
author_facet	Tzu-Kang Lin Tappiti Chandrasekhara Zheng-Jia Liu Ko-Yi Chen
author_sort	Tzu-Kang Lin
title	Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
title_short	Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
title_full	Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
title_fullStr	Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
title_full_unstemmed	Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis
title_sort	verification of a stiffness-variable control system with feed-forward predictive earthquake energy analysis
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d13db92f50964d17a1ead236c26bc3c0
work_keys_str_mv	AT tzukanglin verificationofastiffnessvariablecontrolsystemwithfeedforwardpredictiveearthquakeenergyanalysis AT tappitichandrasekhara verificationofastiffnessvariablecontrolsystemwithfeedforwardpredictiveearthquakeenergyanalysis AT zhengjialiu verificationofastiffnessvariablecontrolsystemwithfeedforwardpredictiveearthquakeenergyanalysis AT koyichen verificationofastiffnessvariablecontrolsystemwithfeedforwardpredictiveearthquakeenergyanalysis
_version_	1718410491762573312

Verification of a Stiffness-Variable Control System with Feed-Forward Predictive Earthquake Energy Analysis

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