OpenSeismoMatlab: A new open-source software for strong ground motion data processing

被引:26
|
作者
Papazafeiropoulos, George [1 ]
Plevris, Vagelis [2 ]
机构
[1] Natl Tech Univ Athens, Inst Struct Anal & Antiseism Res, Heroon Polytech 9,Zografou Campus, Athens 15780, Greece
[2] OsloMet Oslo Metropolitan Univ, Dept Civil Engn & Energy Technol, Pilestredet 35, N-0166 Oslo, Norway
来源
HELIYON | 2018年 / 4卷 / 09期
关键词
Civil engineering; Computer science; Natural hazards; Structural engineering;
D O I
10.1016/j.heliyon.2018.e00784
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
OpenSeismoMatlab is an innovative open-source software for strong ground motion data processing, written in MATLAB. The software implements an elastoplastic bilinear kinematic hardening constitutive model and uses a state-of-the-art single step single solve time integration algorithm featuring exceptional speed, robustness and accuracy. OpenSeismoMatlab can calculate various time histories and corresponding peak values, Arias intensity and its time history, significant duration, various linear elastic response spectra and constant ductility inelastic response spectra, as well as Fourier amplitude spectrum and mean period. Due to its open-source nature, the software can be easily extended or modified, having high research and educational value for the professional engineering and research community. In the present paper, the structure, algorithms and main routines of the program are explained in detail and the results for various types of spectra of 11 earthquake strong ground motions are calculated and compared to corresponding results from other proprietary software.
引用
收藏
页数:39
相关论文
共 50 条
  • [31] PRINCIPLES OF CONSTRUCTION OF OPEN-SOURCE SOFTWARE FOR OCULOGRAPHY DATA ANALYSIS
    Marmalyuk, P. A.
    Zhegallo, A., V
    Yuryev, G. A.
    Panfilova, A. S.
    EKSPERIMENTALNAYA PSIKHOLOGIYA, 2015, 8 (01): : 127 - 144
  • [32] Open-source software for simulations and inversions of airborne electromagnetic data
    Heagy, Lindsey J.
    Kang, Seogi
    Cockett, Rowan
    Oldenburg, Douglas W.
    EXPLORATION GEOPHYSICS, 2020, 51 (01) : 38 - 44
  • [33] An Open-Source Software Package for Data Treatment in a MIEZE Experiment
    Weber, T.
    Brandl, G.
    Georgii, R.
    Boeni, P.
    INTERNATIONAL WORKSHOP ON NEUTRON OPTICS AND DETECTORS (NOP&D 2013), 2014, 528
  • [34] OpenFluo: A free open-source software for optophysiological data analyses
    Dupuy, Fabienne
    Casas, Jerome
    Bagneres, Anne-Genevieve
    Lazzari, Claudio R.
    JOURNAL OF NEUROSCIENCE METHODS, 2009, 183 (02) : 195 - 201
  • [35] MetaboLabPy-An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis
    Ludwig, Christian
    METABOLITES, 2025, 15 (01)
  • [36] Open-source data analysis and visualization software platform: SAGUARO
    Kim, Dae Wook
    Lewis, Benjamin J.
    Burge, James H.
    OPTICAL MANUFACTURING AND TESTING IX, 2011, 8126
  • [37] Analysis of Intercrossed Open-Source Software Repositories Data in GitHub
    Farah, Gabriel
    Correal, Dario
    2013 8TH COMPUTING COLOMBIAN CONFERENCE (8CCC), 2013, : 37 - 42
  • [38] The Gaggle: An open-source software system for integrating bioinformatics software and data sources
    Paul T Shannon
    David J Reiss
    Richard Bonneau
    Nitin S Baliga
    BMC Bioinformatics, 7
  • [39] ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing
    Thibeau-Sutre, Elina
    Diaz, Mauricio
    Hassanaly, Ravi
    Routier, Alexandre
    Dormont, Didier
    Colliot, Olivier
    Burgos, Ninon
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 220
  • [40] Processing and indexing of electron backscatter patterns using open-source software
    Anes, H. W.
    Hjelen, J.
    Sorensen, B. E.
    van Helvoort, A. T. J.
    Marthinsen, K.
    EMAS 2019 WORKSHOP - 16TH EUROPEAN WORKSHOP ON MODERN DEVELOPMENTS AND APPLICATIONS IN MICROBEAM ANALYSIS, 2020, 891