Application of the polynomial chaos expansion method for forecasting structural response of two full-scale case studies
Predicting the behavior of engineering structures with high accuracy remains a challenging task as a result of their continuous interaction with the immediate environment and varying operating conditions. In that context, forecasting tools are primarily focused on the creation of a model of a so-cal...
Saved in:
| Main Authors: | Georgijev Viktor, Bogoevska Simona |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Society for Materials and Structures testing of Serbia
2025-01-01
|
| Series: | Građevinski Materijali i Konstrukcije |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/2217-8139/2025/2217-81392501001G.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Probabilistic assessment and sensitivity analysis of existing concrete bridge via surrogate modeling
by: Lukáš Novák, et al.
Published: (2022-08-01) -
Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion
by: Shengwen Yin, et al.
Published: (2025-02-01) -
RELIABILITY ANALYSIS ON HYBRID SURROGATE MODEL OF RADIAL BASIS FUNCTION AND SPARSE POLYNOMIAL CHAOS EXPANSION (MT)
by: ZHAO ZiDa, et al.
Published: (2023-01-01) -
Stochastic optimal power flow for hybrid AC/DC grids considering continuous non-Gaussian uncertainty
by: Kaan Yurtseven, et al.
Published: (2025-09-01) -
Enhancing Medium-Term Load Forecasting Accuracy in Post-Pandemic Tropical Regions: A Comparative Analysis of Polynomial Regression, Split Polynomial Regression, and LSTM Networks
by: Agus Setiawan
Published: (2025-07-01)