Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
applications, and its mechanical properties are crucial for designing and evaluating its …
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
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 …
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation
plans, providing insights into building performance and retrofitting costs. The complexity of …
plans, providing insights into building performance and retrofitting costs. The complexity of …
[HTML][HTML] Integrating machine learning and remote sensing in disaster management: A decadal review of post-disaster building damage assessment
Natural disasters pose significant threats to human life and property, exacerbated by their
sudden onset and increasing frequency. This paper conducts a comprehensive bibliometric …
sudden onset and increasing frequency. This paper conducts a comprehensive bibliometric …
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
Nowadays, due to improvements in seismic codes and computational devices, retrofitting
buildings is an important topic, in which, permanent deformation of buildings, known as …
buildings is an important topic, in which, permanent deformation of buildings, known as …
[HTML][HTML] Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
N Asgarkhani, F Kazemi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Nowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral
force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of …
force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of …
Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin
Q Liu, J Qiao, M Li, M Huang - Science of The Total Environment, 2024 - Elsevier
Accurately understanding ecosystem service (ES) interactions and an analysis of the
complex, multiscale driving mechanisms are foundational prerequisites for implementing …
complex, multiscale driving mechanisms are foundational prerequisites for implementing …
Improved seismic intensity measures and regional structural risk estimation models
SQ Li - Soil Dynamics and Earthquake Engineering, 2024 - Elsevier
Seismic intensity measures are essential quantitative parameters for evaluating and
predicting engineering structures' seismic risk and vulnerability. Various regional …
predicting engineering structures' seismic risk and vulnerability. Various regional …
Machine learning-based prediction of preplaced aggregate concrete characteristics
Abstract Preplaced-Aggregate Concrete (PAC) is a type of preplaced concrete where coarse
aggregate is placed in the mold and a Portland cement-sand grout with admixtures is …
aggregate is placed in the mold and a Portland cement-sand grout with admixtures is …
Active learning on stacked machine learning techniques for predicting compressive strength of alkali-activated ultra-high-performance concrete
Conventional ultra-high performance concrete (UHPC) has excellent development potential.
However, a significant quantity of CO2 is produced throughout the cement-making process …
However, a significant quantity of CO2 is produced throughout the cement-making process …