Rapid seismic fragility curves assessment of eccentrically braced frames through an output-only nonmodel-based procedure and machine learning techniques
A nonmodel and output-only-based framework incorporating an Auto-Regressive model and
roof absolute acceleration response are hired in this study to compute a robust wavelet …
roof absolute acceleration response are hired in this study to compute a robust wavelet …
Seismic slope displacement procedure for interface and intraslab subduction zone earthquakes
The seismic performance assessment of earth slopes and systems requires an estimate of
the seismically-induced slope displacement (D). Modified Newmark-type analyses are …
the seismically-induced slope displacement (D). Modified Newmark-type analyses are …
Hybrid data‐driven hazard‐consistent drift models for SMRF
The seismic design and assessment of steel moment resisting frames (SMRFs) rely heavily
on drifts. It is unsurprising, therefore, that several simplified methods have been proposed to …
on drifts. It is unsurprising, therefore, that several simplified methods have been proposed to …
Machine learning-based models for estimating seismically-induced slope displacements in subduction earthquake zones
The assessment of the seismic performance of slope systems often relies on estimating the
amount of seismically-induced slope displacements (D) using semi-empirical D models …
amount of seismically-induced slope displacements (D) using semi-empirical D models …
[HTML][HTML] An automated machine learning engine with inverse analysis for seismic design of dams
MA Hariri-Ardebili, F Pourkamali-Anaraki - Water, 2022 - mdpi.com
This paper proposes a systematic approach for the seismic design of 2D concrete dams. As
opposed to the traditional design method which does not optimize the dam cross-section …
opposed to the traditional design method which does not optimize the dam cross-section …
[HTML][HTML] Seismic acceleration demands in tall CLT buildings, predictive models and intensity measures
E Junda, C Málaga-Chuquitaype - Engineering Structures, 2024 - Elsevier
An accurate prediction of floor accelerations is crucial for estimating damage to contents and
non-structural components in a building. Oversimplifying the nature of acceleration demands …
non-structural components in a building. Oversimplifying the nature of acceleration demands …
A Ratiometric SERS Strategy for the Prediction of Cancer Cell Proportion and Guidance of Glioma Surgical Resection
J Sun, W Cheng, S Guo, R Cai, G Liu, A Wu… - Biosensors and …, 2024 - Elsevier
Rapid and accurate identification of tumor boundaries is critical for the cure of glioma, but it
is difficult due to the invasive nature of glioma cells. This paper aimed to explore a rapid …
is difficult due to the invasive nature of glioma cells. This paper aimed to explore a rapid …
New conditional, scenario-based, and traditional peak ground velocity models for interface and intraslab subduction zone earthquakes
The Pacific Earthquake Engineering Research (PEER) Center next-generation attenuation
relationships for subduction zone earthquakes (NGA-Sub) ground motion database is used …
relationships for subduction zone earthquakes (NGA-Sub) ground motion database is used …
Machine learning-based models for estimating liquefaction-induced building settlements
Engineers often estimate the amount of liquefaction-induced building settlements (LIBS) as
a performance proxy to assess the potential of earthquake-induced damage to buildings …
a performance proxy to assess the potential of earthquake-induced damage to buildings …
Generic Models for Predicting Coseismic Displacements of Earth Slopes Based on Numerical Analysis and Machine Learning Algorithm
Generic models for estimating the earthquake-induced displacement of Earth slopes are
developed based on a numerical approach. A number of 14,112 slope models with different …
developed based on a numerical approach. A number of 14,112 slope models with different …