Establishing efficacy of machine learning techniques for vulnerability information of tubular buildings
During recent times, the emergence of artificial intelligence in structural engineering has
rendered researchers to work on reducing the overall computational effort required for …
rendered researchers to work on reducing the overall computational effort required for …
Machine learning-based predictive model for tensile and flexural strength of 3D-printed concrete
The additive manufacturing of concrete, also known as 3D-printed concrete, is produced
layer by layer using a 3D printer. The three-dimensional printing of concrete offers several …
layer by layer using a 3D printer. The three-dimensional printing of concrete offers several …
[HTML][HTML] Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow
Introducing 3D-concrete printing has started a revolution in the construction industry,
presenting unique opportunities alongside undeniable challenges. Among these, the major …
presenting unique opportunities alongside undeniable challenges. Among these, the major …
Machine learning (ML) algorithms for seismic vulnerability assessment of school buildings in high-intensity seismic zones
M Zain, U Dackermann, L Prasittisopin - Structures, 2024 - Elsevier
Ensuring seismic resilience of school buildings is crucial for safeguarding their occupants
during earthquakes. This paper focuses on assessing the seismic vulnerability of school …
during earthquakes. This paper focuses on assessing the seismic vulnerability of school …
A novel framework for effective structural vulnerability assessment of tubular structures using machine learning algorithms (GA and ANN) for hybrid simulations
M Zain, L Prasittisopin, T Mehmood… - Nonlinear …, 2024 - degruyter.com
Seismic vulnerability assessments are conventionally conducted by using sophisticated
nonlinear analytical models, leading to aggressive computational demands. Previous …
nonlinear analytical models, leading to aggressive computational demands. Previous …
Modal-based fragility analysis of high-rise tubular structures: A methodology for vulnerability assessment
This study addresses the limitations of current vulnerability assessment processes for tall
buildings, which fail to incorporate the effects of higher modes and the resulting structural …
buildings, which fail to incorporate the effects of higher modes and the resulting structural …
Influence of Pavement Structure on Soil Temperature Based on Geostudio
Z Liu, C Yuan, L Yan, W Hong, T Zhang - International Conference on …, 2023 - Springer
In the northwestern region of China, including Gansu, Qinghai, and Xinjiang, the areas are
situated in the inland hinterland of the northwest and experience a typical arid to semi-arid …
situated in the inland hinterland of the northwest and experience a typical arid to semi-arid …
Machine Learning for Seismic Vulnerability Assessment: A Review
JC Jimenez, OG Dela Cruz - … on Advanced Civil Engineering and Smart …, 2023 - Springer
Assessing seismic vulnerability is essential for reducing the impact of earthquakes on
people and structures. The prevalence of machine learning techniques in this domain has …
people and structures. The prevalence of machine learning techniques in this domain has …
[PDF][PDF] SEISMIC VULNERABILITY ASSESSMENT OF SCHOOL BUILDINGS IN CITY OF MALOLOS USING SUPPORT VECTOR MACHINE
JC JIMENEZ - 2024 - researchgate.net
SEISMIC VULNERABILITY ASSESSMENT OF SCHOOL BUILDINGS IN CITY OF MALOLOS
USING SUPPORT VECTOR MACHINE Page 1 POLYTECHNIC UNIVERSITY OF THE …
USING SUPPORT VECTOR MACHINE Page 1 POLYTECHNIC UNIVERSITY OF THE …
[PDF][PDF] Case Studies in Construction Materials
Introducing 3D-concrete printing has started a revolution in the construction industry,
presenting unique opportunities alongside undeniable challenges. Among these, the major …
presenting unique opportunities alongside undeniable challenges. Among these, the major …