Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
T Shafighfard, F Kazemi, N Asgarkhani… - Engineering Applications of …, 2024 - Elsevier
High-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless
and environmentally friendly material. It has recently received a substantial amount of …
and environmentally friendly material. It has recently received a substantial amount of …
Hybrid stacked neural network empowered by novel loss function for structural response history prediction using input excitation and roof acceleration
R Karami, O Yazdanpanah, KM Dolatshahi… - … Applications of Artificial …, 2024 - Elsevier
This paper presents a framework to predict the entire displacement time histories of all floors
of buildings using a novel double-head neural network composed of causal Convolution …
of buildings using a novel double-head neural network composed of causal Convolution …
Crack image-based FEMA P-58-compliant fragility models for automated earthquake-induced loss estimation in non-ductile RC moment frames
In this paper, a probabilistic post-earthquake loss estimation methodology based on image
processing is proposed for non-seismically designed reinforced concrete moment frames …
processing is proposed for non-seismically designed reinforced concrete moment frames …
Computer vision-based quantification of updated stiffness for damaged RC columns after earthquake
Concrete surface cracks are one of the primary indicators of structural deterioration; thus,
crack analysis is crucial to maintain the intact serviceability of the structural components …
crack analysis is crucial to maintain the intact serviceability of the structural components …
Probabilistic Postearthquake ASCE 41-17 Compliant Performance Level Identification for Shear-Dominated RC Shear Walls via Crack Image Analysis
In this paper, a probabilistic methodology based on image analysis for identifying the
postearthquake performance level of reinforced concrete shear walls is proposed. A …
postearthquake performance level of reinforced concrete shear walls is proposed. A …
Probabilistic post-earthquake loss measurement for RC framed buildings using crack image analysis
Robust post-earthquake loss measurement is essential in community level for policy makers
and an area of interest for insurance companies at the building level. The seismic loss …
and an area of interest for insurance companies at the building level. The seismic loss …
Multi-feature driven seismic damage state identification for reinforced concrete shear walls using computer vision and machine learning
In this paper, an image-based methodology using machine learning algorithms is developed
for earthquake-induced damage state prediction in rectangular reinforced concrete shear …
for earthquake-induced damage state prediction in rectangular reinforced concrete shear …
Rapid post-earthquake loss quantification using crack patterns of reinforced concrete columns
An automated seismic loss estimation is crucial for earthquake-prone zones to enable
policymakers and insurance companies for a rapid analysis of the economic loss impact on …
policymakers and insurance companies for a rapid analysis of the economic loss impact on …
[HTML][HTML] Experimental study on the pullout behavior of steel rebars in masonry shotcreted layer
H Sabouri, M Yekrangnia - Results in Engineering, 2024 - Elsevier
Unreinforced masonry (URM) buildings are quite popular worldwide due to their low
construction costs, despite being susceptible to significant damage even from moderate …
construction costs, despite being susceptible to significant damage even from moderate …
Vision‐based probabilistic post‐earthquake loss estimation for reinforced concrete shear walls
In this paper, a probabilistic methodology based on image analysis is proposed for
earthquake‐induced loss estimation in rectangular reinforced concrete shear walls …
earthquake‐induced loss estimation in rectangular reinforced concrete shear walls …