Numerical Dissipation and Stability Analyses of a Highly Efficient Numerical Approach Proposed for Predicting the Blast Loads from Large TNT-Equivalent Explosives on Building Structures
An efficient CE/SE-based numerical method implemented in LS-DYNA R7.0 has been developed for predicting far-field blast loads from large TNT-equivalent explosives on structures, offering validated accuracy for engineering risk assessment. However, the stability and numerical dissipation characteristics induced by its non-physical parameters (α, β, CFL) remain unquantified, limiting optimal application. To resolve this, we analytically derived an explicit numerical dissipation term coefficient aβΔx(w+ − w−)(1 − CFL2)/4 from a simplified 1D continuity equation and established stability criteria via von Neumann analysis. Benchmark simulations of 1 kg TNT free-air bursts demonstrate that increasing α from 0.1 to 5.0 reduces peak overpressure by 13.0%, while β rising from 0.5 to 1.0 decreases it by 1.89%, and elevating CFL from 0.05 to 0.50 increases overpressure by 1.92%. Critically, stability requires α ≥ 0, 0 ≤ β ≤ 1, and 0 ≤ CFL ≤ 1. These first theoretical guidelines for non-physical parameter selection enhance the method’s prediction accuracy and computational efficiency.
Authors
- Huijian Li (ORCID: https://orcid.org/0000-0001-5725-2944)
- Tiesheng Dou
- Feng-Wei Shi (ORCID: https://orcid.org/0000-0002-3843-9903)
- Xiaonong Dong
- Shifa Xia
- Shuo Dong (ORCID: https://orcid.org/0000-0002-4686-0650)
- Xuan Zhang (ORCID: https://orcid.org/0000-0002-4999-7361)
- Meng Li (ORCID: https://orcid.org/0000-0003-1884-1521)
Institutions
- China Institute of Water Resources and Hydropower Research (CN)
- Ministry of Water Resources of the People's Republic of China (CN)
- Shandong University of Science and Technology (CN)
Publication Details
- Journal
- Buildings
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3390/buildings15183348
- Primary Topic
- Structural Response to Dynamic Loads
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shandong University
- Qingdao Postdoctoral Science Foundation
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Shandong University of Science and Technology
- China Institute of Water Resources and Hydropower Research