Machine learning applications for building structural design and performance assessment: State-of-the-art review
Abstract Machine learning models have been shown to be useful for predicting and
assessing structural performance, identifying structural condition and informing preemptive …
assessing structural performance, identifying structural condition and informing preemptive …
A comparative study of damage-sensitive features for rapid data-driven seismic structural health monitoring
Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring
a prompt and functional recovery of the built environment. Monitoring-based approaches …
a prompt and functional recovery of the built environment. Monitoring-based approaches …
Ten questions concerning human-building interaction research for improving the quality of life
This paper seeks to address ten questions that explore the burgeoning field of Human-
Building Interaction (HBI), an interdisciplinary field that represents the next frontier in …
Building Interaction (HBI), an interdisciplinary field that represents the next frontier in …
Footprintid: Indoor pedestrian identification through ambient structural vibration sensing
We present FootprintID, an indoor pedestrian identification system that utilizes footstep-
induced structural vibration to infer pedestrian identities for enabling various smart building …
induced structural vibration to infer pedestrian identities for enabling various smart building …
Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures
JP Amezquita-Sanchez, H Adeli - Smart Materials and Structures, 2015 - iopscience.iop.org
A new methodology is presented for (a) detecting,(b) locating, and (c) quantifying the
damage severity in a smart highrise building structure. The methodology consists of three …
damage severity in a smart highrise building structure. The methodology consists of three …
Development of fragility curves in adjacent steel moment-resisting frames considering pounding effects through improved wavelet-based refined damage-sensitive …
Fragility curves present useful information related to earthquake-induced probability
assessment of steel moment-resisting frames (MRFs) and determine the probability of the …
assessment of steel moment-resisting frames (MRFs) and determine the probability of the …
Unsupervised novelty detection–based structural damage localization using a density peaks-based fast clustering algorithm
Within machine learning, several structural damage detection and localization methods
based on clustering and novelty detection methods have been proposed in the recent years …
based on clustering and novelty detection methods have been proposed in the recent years …
Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature
This paper aims to propose complex Morlet (cmorf bf c) wavelet-based refined damage-
sensitive feature (rDSF) as a new and more precise damage indicator to diagnose seismic …
sensitive feature (rDSF) as a new and more precise damage indicator to diagnose seismic …
PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning
Automated structural damage diagnosis after earthquakes is important for improving
efficiency of disaster response and city rehabilitation. In conventional data-driven …
efficiency of disaster response and city rehabilitation. In conventional data-driven …
Unsupervised machine and deep learning methods for structural damage detection: a comparative study
While many structural damage detection methods have been developed in recent decades,
few data‐driven methods in unsupervised learning mode have been developed to solve the …
few data‐driven methods in unsupervised learning mode have been developed to solve the …