Vibration properties monitoring and uncertainty quantification of precast and cast‐in‐situ shear wall buildings using a Bayesian framework
暂无分享,去创建一个
Yan-Chun Ni | Yan‐Chun Yun | Qi‐Wei Zhang | Kai‐Cheng Lu | Y. Ni | Yan‐Chun Ni | Yan‐Chun Yun | Qi‐Wei Zhang | Kai‐Cheng Lu | Yan Yun | Qi‐Wei Zhang | K. Lu
[1] Wang-Ji Yan,et al. A novel Bayesian approach for structural model updating utilizing statistical modal information from multiple setups , 2015 .
[2] Hao Sun,et al. Bayesian characterization of buildings using seismic interferometry on ambient vibrations , 2017 .
[3] Ka-Veng Yuen,et al. Ambient interference in long-term monitoring of buildings , 2010 .
[4] Xilin Lu,et al. Operational modal analysis of a high-rise multi-function building with dampers by a Bayesian approach , 2017 .
[5] Siu-Kui Au. Assembling mode shapes by least squares , 2011 .
[6] Siu-Kui Au,et al. Fast Bayesian approach for modal identification using free vibration data, Part i - Most probable value , 2016 .
[7] Lambros S. Katafygiotis,et al. Bayesian Fast Fourier Transform Approach for Modal Updating Using Ambient Data , 2003 .
[8] Marco Savoia,et al. Damage and collapses in industrial precast buildings after the 2012 Emilia earthquake , 2017 .
[9] Chul-Woo Kim,et al. Damage detection of a truss bridge utilizing a damage indicator from multivariate autoregressive model , 2017 .
[10] Satish Nagarajaiah,et al. Bayesian seismic strong-motion response and damage estimation with application to a full-scale seven story shear wall structure , 2019, Engineering Structures.
[11] Siu-Kui Au. Operational Modal Analysis , 2017 .
[12] Wang-Ji Yan,et al. Application of transmissibility matrix and random matrix to Bayesian system identification with response measurements only , 2016 .
[13] N. Debnath,et al. A Bayesian finite element model updating with combined normal and lognormal probability distributions using modal measurements , 2018, Applied Mathematical Modelling.
[14] Ching-Tai Ng,et al. The selection of pattern features for structural damage detection using an extended Bayesian ANN algorithm , 2008 .
[15] Jinping Ou,et al. Damage analysis of carbon nanofiber modified flax fiber composite by acoustic emission , 2017 .
[16] Haibei Xiong,et al. Structural health monitoring of Shanghai Tower during different stages using a Bayesian approach , 2016 .
[17] Satish Nagarajaiah,et al. An offline approach for output-only Bayesian identification of stochastic nonlinear systems using unscented Kalman filtering , 2017 .
[18] Vasilis K. Dertimanis,et al. Vibration-based experimental damage detection of a small-scale wind turbine blade , 2017 .
[19] Serdar Soyoz,et al. Ambient and Forced Vibration Testing of a Reinforced Concrete Building before and after Its Seismic Retrofitting , 2013 .
[20] Carlos E. Ventura,et al. Introduction to Operational Modal Analysis: Brincker/Introduction to Operational Modal Analysis , 2015 .
[21] Siu-Kui Au,et al. Bayesian operational modal analysis: Theory, computation, practice , 2013 .
[22] B. Peeters,et al. Stochastic System Identification for Operational Modal Analysis: A Review , 2001 .
[23] Siu-Kui Au,et al. Fast Bayesian modal identification of structures using known single‐input forced vibration data , 2014 .
[24] Guang-Dong Zhou,et al. Optimal placement of triaxial sensors for modal identification using hierarchic wolf algorithm , 2017 .
[25] Haibei Xiong,et al. Evaluation of the dynamic characteristics of a super tall building using data from ambient vibration and shake table tests by a Bayesian approach , 2018 .
[26] Heung-Fai Lam,et al. Series of Full-Scale Field Vibration Tests and Bayesian Modal Identification of a Pedestrian Bridge , 2016 .
[27] Feng-Liang Zhang,et al. Fast Bayesian approach for modal identification using forced vibration data considering the ambient effect , 2018 .
[28] Andrea Belleri,et al. Dynamic behavior of rocking and hybrid cantilever walls in a precast concrete building , 2014 .
[29] Costas Papadimitriou,et al. Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain , 2017, Reliab. Eng. Syst. Saf..
[30] Heung-Fai Lam,et al. Bayesian structural model updating using ambient vibration data collected by multiple setups , 2017 .
[31] Siu-Kui Au,et al. Fundamental two-stage formulation for Bayesian system identification, Part I: General theory , 2016 .
[32] Satish Nagarajaiah,et al. Bayesian structural identification of a hysteretic negative stiffness earthquake protection system using unscented Kalman filtering , 2018, Structural Control and Health Monitoring.
[33] S. Au,et al. Bayesian model updating of a coupled-slab system using field test data utilizing an enhanced Markov chain Monte Carlo simulation algorithm , 2015 .
[34] Joel P. Conte,et al. Bayesian nonlinear structural FE model and seismic input identification for damage assessment of civil structures , 2017 .
[35] Stefano Lenci,et al. Seismic performance of precast reinforced concrete buildings with dowel pin connections , 2016 .
[36] Kenny C. S Kwok,et al. Probabilistic assessment of vibration exceedance for a full‐scale tall building under typhoon conditions , 2018, The Structural Design of Tall and Special Buildings.
[37] K. Yuen. Bayesian Methods for Structural Dynamics and Civil Engineering , 2010 .
[38] You-Lin Xu,et al. Response covariance-based sensor placement for structural damage detection , 2018 .
[39] He Yuncheng,et al. Dynamic responses of a 492‐m‐high tall building with active tuned mass damping system during a typhoon , 2013 .
[40] Hyo Seon Park,et al. Damage detection of building structures under ambient excitation through the analysis of the relationship between the modal participation ratio and story stiffness , 2018 .
[41] Andrew W. Smyth,et al. Bayesian model updating of a full‐scale finite element model with sensitivity‐based clustering , 2017 .
[42] Heung-Fai Lam,et al. Fast Bayesian approach for modal identification using free vibration data, Part II—Posterior uncertainty and application , 2016 .
[43] Costas Papadimitriou,et al. An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly , 2020 .
[44] Hongping Zhu,et al. A sensitivity-based structural damage identification method with unknown input excitation using transmissibility concept , 2014 .
[45] Paolo Negro,et al. Pseudodynamic tests on a full-scale 3-storey precast concrete building: behavior of the mechanical connections and floor diaphragms , 2013 .
[46] Saeed Eftekhar Azam,et al. Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach , 2018 .
[47] Yeong-Bin Yang,et al. An effective means for damage detection of bridges using the contact-point response of a moving test vehicle , 2018 .
[48] Ka-Veng Yuen,et al. Entropy‐Based Optimal Sensor Placement for Model Identification of Periodic Structures Endowed with Bolted Joints , 2017, Comput. Aided Civ. Infrastructure Eng..
[49] Jun Hu,et al. Operational modal identification and finite element model updating of a coupled building following Bayesian approach , 2018 .
[50] Ying Wang,et al. Influence of axial loads on the health monitoring of concrete structures using embedded piezoelectric transducers , 2017 .
[51] J. Beck. Bayesian system identification based on probability logic , 2010 .
[52] Joel P. Conte,et al. A dual adaptive filtering approach for nonlinear finite element model updating accounting for modeling uncertainty , 2019, Mechanical Systems and Signal Processing.
[53] Yan-Chun Ni,et al. Dynamic Property Evaluation of a Long-Span Cable-Stayed Bridge (Sutong Bridge) by a Bayesian Method , 2018, International Journal of Structural Stability and Dynamics.
[54] Costas Papadimitriou,et al. Hierarchical Bayesian model updating for structural identification , 2015 .
[55] Siu-Kui Au,et al. Fundamental two-stage formulation for Bayesian system identification, Part II: Application to ambient vibration data , 2016 .
[56] Yi-Qing Ni,et al. Operational modal analysis of Canton Tower by a fast frequency domain Bayesian method , 2016 .
[57] Rune Brincker,et al. Modal identification of output-only systems using frequency domain decomposition , 2001 .