Seismic response prediction of RC bridge piers through stacked long short-term memory network
This paper aims at addressing the prediction of the displacement time histories and
subsequently hysteresis curves of reinforced concrete bridge piers using a real-time hybrid …
subsequently hysteresis curves of reinforced concrete bridge piers using a real-time hybrid …
Integrating real‐time hybrid simulation with multi‐fidelity Monte Carlo predictor for seismic fragility assessment
X Gao, C Chen, C Peng, W Xu… - Earthquake Engineering & …, 2023 - Wiley Online Library
Seismic fragility evaluates the performance of a structure regarding to its capability to
withstand earthquake loads by describing the exceedance probability for selected …
withstand earthquake loads by describing the exceedance probability for selected …
Selective online model updating in hybrid simulation of a full‐scale steel moment frame
This study presents the implementation of an online model updating algorithm within a full‐
scale hybrid simulation (HS) of a six story, four bay steel moment frame. The experimental …
scale hybrid simulation (HS) of a six story, four bay steel moment frame. The experimental …
Smart bridge bearing monitoring: Predicting seismic responses with a multi‐head attention‐based CNN‐LSTM network
This paper introduces a novel method to spontaneously predict displacement time histories
and hysteresis curves of bridge lead rubber bearings under seismic loads and axial forces …
and hysteresis curves of bridge lead rubber bearings under seismic loads and axial forces …
Coupled aero-hydro-geotech real-time hybrid simulation of offshore wind turbine monopile structures
Real-time hybrid simulation (RTHS) divides a structural system into an analytical and
experimental substructure. The former is based on a well-established analytical model while …
experimental substructure. The former is based on a well-established analytical model while …
Attention-based hybrid convolutional-long short-term memory network for bridge pier hysteresis and backbone curves prediction
O Yazdanpanah, M Chang… - Integrated Computer …, 2024 - journals.sagepub.com
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proposes a solution to the problem of automatically predicting hysteresis and backbone …
proposes a solution to the problem of automatically predicting hysteresis and backbone …
Real‐time hybrid simulation of structural systems with soil‐foundation interaction effects using neural networks
Real‐time hybrid simulation (RTHS) involves dividing a structural system into numerical and
experimental substructures. The experimental substructure is challenging to model …
experimental substructures. The experimental substructure is challenging to model …
Simulation-guided PGD-Stereocorrelation for hybrid testing
Hybrid testing aims to evaluate the dynamics of a large scale structure from which an
isolated part is experimentally tested, while the rest is simulated in the control loop for …
isolated part is experimentally tested, while the rest is simulated in the control loop for …
Seismic fragility estimation through real-time hybrid simulation and surrogate-based multi-fidelity Monte Carlo predictor
X Gao, C Peng, C Chen, T Guo - Engineering Structures, 2024 - Elsevier
The intricate dynamic responses of structures, particularly when confronted with uncertainty,
poses significant challenges in constructing reliable analytical models, thus resulting in …
poses significant challenges in constructing reliable analytical models, thus resulting in …
A systematic online update method for reduced-order-model-based digital twin
A digital twin (DT) is a model that mirrors a physical system and is continuously updated with
real-time data from the physical system. Recent implementations of reduced-order-model …
real-time data from the physical system. Recent implementations of reduced-order-model …