A critical review on the performance of yielding supports in squeezing tunnels
K Wu, Z Shao, S Qin, W Wei, Z Chu - Tunnelling and Underground Space …, 2021 - Elsevier
The use of yielding supports has proven to be a highly effective measure for tunneling in
squeezing grounds because of their agreement with the law of mechanical movement of …
squeezing grounds because of their agreement with the law of mechanical movement of …
An experimental investigation and machine learning-based prediction for seismic performance of steel tubular column filled with recycled aggregate concrete
This work presents the design and application of a low-cycle reciprocating loading test on 23
recycled aggregate concrete-filled steel tube columns and 3 ordinary concrete-filled steel …
recycled aggregate concrete-filled steel tube columns and 3 ordinary concrete-filled steel …
Prediction of thermo-mechanical properties of rubber-modified recycled aggregate concrete
The recycled aggregate (RA) and waste rubber particles (RPs) can be combined to prepare
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression
Self-compacting concrete (SCC) can achieve compaction into every part of the formwork
through its own weight without any segregation of the coarse aggregate. Lightweight …
through its own weight without any segregation of the coarse aggregate. Lightweight …
Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms
For the optimization of concrete mixture proportions, multiple objectives (eg, strength, cost,
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
slump) with many variables (eg, concrete components) under highly nonlinear constraints …
BAS-ADAM: An ADAM based approach to improve the performance of beetle antennae search optimizer
In this paper, we propose enhancements to Beetle Antennae search (BAS) algorithm, called
BAS-ADAM, to smoothen the convergence behavior and avoid trapping in local-minima for a …
BAS-ADAM, to smoothen the convergence behavior and avoid trapping in local-minima for a …
Strength of stacking technique of ensemble learning in rockburst prediction with imbalanced data: Comparison of eight single and ensemble models
Rockburst is a common dynamic geological hazard, severely restricting the development
and utilization of underground space and resources. As the depth of excavation and mining …
and utilization of underground space and resources. As the depth of excavation and mining …
Electromagnetic absorption of copper fiber oriented composite using 3D printing
Electromagnetic wave (EMW) pollution negatively impacts information, equipment security,
and the human body. However, neither powder phase absorbent nor ferrite fiber using …
and the human body. However, neither powder phase absorbent nor ferrite fiber using …
Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models
Depletion of river sand due to large-scale concrete production has caused many
environmental problems. To address this issue, river sand can be replaced with sand …
environmental problems. To address this issue, river sand can be replaced with sand …
The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites
Electrically conductive cementitious composites (ECCCs) have become a significant
research interest in structural health monitoring. The use of graphite in ECCCs can …
research interest in structural health monitoring. The use of graphite in ECCCs can …