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Predicting the impact strength and chloride permeability of concrete made with industrial waste and artificial sand using ANN
Large-scale cement and natural fine aggregate use in construction has negative environmental effects. Considering this issue in this study crushed...
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Evaluation of NLLoc positioning method and seismogenic structure analysis of Luanzhou MS 4.3 earthquake
NLLoc is a nonlinear search positioning method. In this study, we use simulated arrival time data to quantitatively evaluate the NLLoc method from...
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Testing the applicability of ground motion prediction equations for the Hainaut region (Belgium) using intensity data
In regions where strong earthquakes occurred before the deployment of dense seismic and accelerometric networks, intensity datasets can help select...
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A Framework for Quantifying Stormwater Control Measures’ Hydrologic Performance with Analytical Stochastic Models
Previously developed analytical stochastic models (ASMs) have the limitations in that they can only be individually applied for specific end-of-pipe...
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Physical, mechanical, and microstructural characteristics of fly ash replaced cement deep mixing columns
The novel approach of the study is implementing the installation procedure of fly ash (FA) replaced cement deep mixing (DM) columns to field cases...
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Contribution of freefall and rock mass structure to post-fragmentation spreading of rockslides
Sudden freefall is very common in high-velocity and long-runout rockslides. The combination of freefall and joints (a rock mass structure) may cause...
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Protecting smart cities structures from fire hazards: experimental analysis of post-tensioned beams
The basic vision of smart cities is to replace conventional systems with smart technologies in both the construction process and the operation of...
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No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models
Machine learning techniques have gained attention in earthquake engineering for their accurate predictions, but their opaque black-box models create...
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Recommendation for concrete mixture design and guidelines for ECP using marble and RCA
Engineers and designers have a significant concern regarding the sustainability of concrete. This research focuses on the manufacture of sustainable...
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Characterization of rubber-clay composites as recycled waste lightweight construction materials
The aim of this research is to assess the impact of using recycled rubber plastic waste as additives to clay bricks in various proportions (0%, 1%,...
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One-Dimensional Consolidation Modeling of Soil Surrounding Buried Geothermal Pipelines: Incorporating Heat Diffusion Processes
Thermal consolidation of soil is a significant concern in buried geothermal pipeline engineering. Soil consolidation begins immediately upon pipeline...
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Flood Susceptibility Map** Using Information Fusion Paradigm Integrated with Decision Trees
Accurate estimation of flood-damaged zones in a watershed is prominent in guiding a framework for develo** sustainable strategies. For these...
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Numerical analysis of the effect of filter gabion against slope stability due to torrential rainfall
Torrential rainfall is one of the significant factors contributing to shallow slope failures. This study discusses the effect of the different filter...
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Hydrodynamic modelling for simulating nearshore waves and sea levels: classification of extreme events from the English Channel to the Normandy coasts
Assessing the vulnerability of coastal systems to storms often rely on an accurate modelling of extreme events and the identification of their...
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Airfield flexible pavement using waste foundry sand and water-based VAE copolymer binder – studies on mechanical, thermal and weathering effect
Airfield runways, taxiways, and aprons were primarily comprised of asphalt bituminous flexible pavement. Although, asphalt bituminous pavement...
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A fuzzy C-means clustering approach for petrophysical characterization of lithounits in the North Singhbhum Mobile Belt, Eastern India
The characterization of the various rock types through petrophysical data analysis is essential for comprehending geological processes and enhancing...
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Models for topographic ground motion amplification based on finite element analyses considering topographic features and ground motions in Japan
Surface topographic irregularities can alter ground motion. In this study, we investigated the influence of various topographic factors such as...
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A deep learning approach to classify volcano activity using tremor data joint with infrasonic event counts and radar backscatter power; case study: mount Etna, Italy
In this paper, a method is presented to classify volcano activity into three classes, namely quiet, strombolian, and paroxysm. The method is based on...
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A New Derivation for the Apparent Permeability Model Applied to the Full Knudsen Number Range
Multiple flow mechanisms that coexist in nanoscale porous media are responsible for deviations from the linear Klinkenberg equation. The use of...