A hybrid artificial neural network—Particle swarm optimization algorithm model for the determination of target displacements in mid-rise regular reinforced-concrete …
The realistic determination of damage estimation and building performance depends on
target displacements in performance-based earthquake engineering. In this study, target …
target displacements in performance-based earthquake engineering. In this study, target …
[PDF][PDF] A deep 3d convolutional neural network based design for manufacturability framework
Abstract Deep 3D Convolutional Neural Networks (3D-CNN) are traditionally used for object
recognition, video data analytics and human gesture recognition. In this paper, we present a …
recognition, video data analytics and human gesture recognition. In this paper, we present a …
Damage level prediction of reinforced concrete building based on earthquake time history using artificial neural network
The strong motion earthquake could cause the building damage in case of the building not
considered in the earthquake design of the building. The study aims to predict the damage …
considered in the earthquake design of the building. The study aims to predict the damage …
[HTML][HTML] Evaluation of Convolutional-Long Short-Term Memory Model in Predicting Surface Displacement of Underground Mines
Surface stability is essential in underground mines health management systems.
Unexpected Surface displacement in underground mines could lead to loss of lives, injuries …
Unexpected Surface displacement in underground mines could lead to loss of lives, injuries …
Workability and strength optimisation of concrete utilising artificial sand blended with natural sand for road pavement
Workability and strength optimisation of concrete utilising artificial sand blended with natural
sand was carried out in this paper for road pavement. There were 18 concrete mixtures with …
sand was carried out in this paper for road pavement. There were 18 concrete mixtures with …
Prediksi Kerusakan Model Jembatan Pelengkung dengan Metode Jaringan Syaraf Tiruan
Bencana akibat keruntuhan struktur jembatan yang tidak bisa diprediksi sebelumnya
membutuhkan biaya rehabilitasi yang sangat besar. Hal ini diakibatkan oleh penurunan …
membutuhkan biaya rehabilitasi yang sangat besar. Hal ini diakibatkan oleh penurunan …
Perilaku Struktur Jembatan Baja Pelengkung Berdasarkan Spektrum Gempa: Behavior of Curved Steel Bridge Structures Based on Earthquake Spectrum
Abstract [ID] Perencanaan struktur jembatan baja pelengkung harus memperhatikan
kemampuan respon strukturnya yang rentan terhadap deteriorasi akibat fatik, ancaman …
kemampuan respon strukturnya yang rentan terhadap deteriorasi akibat fatik, ancaman …
Seismic damage-level prediction model of cable-stayed bridge using nonlinear time history analysis for intelligent structural health monitoring under earthquake …
The current condition of a bridge should be given the highest priority to ensure its safety and
its serviceability to the bridge users. Therefore, this paper explained the development of an …
its serviceability to the bridge users. Therefore, this paper explained the development of an …
Application of artificial neural network (ANN) in the prediction of displacement of RC frame subjected to earthquake
R Prabhakara, P Patil, N Harish… - Recent Trends in Civil …, 2020 - Springer
The load response behavior of the structure subjected to earthquake load depends on many
parameters. The responses can be broadly classified into three categories, namely zonal …
parameters. The responses can be broadly classified into three categories, namely zonal …
Deep learning and GPU-accelerated algorithms for computer-aided engineering
A Balu - 2020 - search.proquest.com
Abstract Computer-Aided Engineering (CAE) is necessary for fast and efficient product
development in design and manufacturing. Historically, CAE played a vital role in the drastic …
development in design and manufacturing. Historically, CAE played a vital role in the drastic …