The Monte Carlo method to determine the error in calculation of objective acoustic parameters within the ray-tracing technique

被引:4
|
作者
Giner, J [1 ]
Militello, C
García, A
机构
[1] Univ La Laguna, Dept Financial Econ & Accounting, La Laguna 38071, Spain
[2] Univ La Laguna, Dept Fundamental & Expt Phys, E-38207 La Laguna, Spain
[3] Univ Valencia, Dept Appl Phys, Burjassot 46100, Valencia, Spain
来源
关键词
D O I
10.1121/1.1409373
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This article is an extension of the procedure to estimate errors in ray-tracing calculations of room response proposed by Giner et al. [J. Acoust. Soc. Am. 106, 816-823 (1999)]. The previous article presented an expression to estimate the error in computing the energy reaching a receptor during a small time interval. This expression was obtained assuming that a pure ray-tracing program is used and a Monte Carlo Technique is applied. In the present work these ideas are extended in order to compute the objective acoustic parameters of a room. The corresponding equations are presented in closed form. Our results show that the number of rays involved in the analysis depends on the nature of the parameters to be evaluated. Some examples are shown in order to validate our conclusions. (C) 2001 Acoustical Society of America.
引用
收藏
页码:3081 / 3085
页数:5
相关论文
共 50 条
  • [21] Improving the Calculation Speed of Ray-tracing Based Simulator for Analyzing an Integrating Sphere with OpenMP Directive and Guaranteeing the Randomness of Monte Carlo Method
    Kim, Seung-Yong
    Kim, Dae-Chan
    Beom-Hoan, O.
    Park, Se-Geun
    Lee, El-Hang
    Lee, Seung Gol
    KOREAN JOURNAL OF OPTICS AND PHOTONICS, 2011, 22 (02) : 83 - 89
  • [22] Zone modelling coupled Monte Carlo Ray-Tracing Method for the prediction of transient performance of metal reheating
    Wang Chunsheng
    Gao Bo
    Hu, Yukun
    2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2017, : 393 - 397
  • [23] SOLFAST, a Ray-Tracing Monte-Carlo software for solar concentrating facilities
    Roccia, J. P.
    Piaud, B.
    Coustet, C.
    Caliot, C.
    Guillot, E.
    Flamant, G.
    Delatorre, J.
    EUROTHERM CONFERENCE NO. 95: COMPUTATIONAL THERMAL RADIATION IN PARTICIPATING MEDIA IV, 2012, 369
  • [24] Monte Carlo ray-tracing simulations for cold neutron beam guides of CONAS
    Sy Minh Tuan Hoang
    Gwang Min Sun
    Jiseok Kim
    Hani Baek
    Journal of Radioanalytical and Nuclear Chemistry, 2016, 309 : 207 - 218
  • [25] Monte Carlo ray-tracing simulations for cold neutron beam guides of CONAS
    Sy Minh Tuan Hoang
    Sun, Gwang Min
    Kim, Jiseok
    Baek, Hani
    JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY, 2016, 309 (01) : 207 - 218
  • [26] PoDFluX: A new Monte Carlo ray-tracing model for powder diffraction and fluorescence
    Hansford, Graeme M.
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2009, 80 (07):
  • [27] Accuracy of Monte Carlo ray-tracing thermal radiation calculations: A practical discussion
    Almazan, PP
    SIXTH EUROPEAN SYMPOSIUM ON SPACE ENVIRONMENTAL CONTROL SYSTEMS, VOLS 1 AND 2, 1997, 400 : 579 - 591
  • [28] PHOTON MAPS IN BIDIRECTIONAL MONTE-CARLO RAY-TRACING OF COMPLEX OBJECTS
    JENSEN, HW
    CHRISTENSEN, NJ
    COMPUTERS & GRAPHICS, 1995, 19 (02) : 215 - 224
  • [29] Monte Carlo Ray-Tracing Simulation of a Cassegrain Solar Concentrator Module for CPV
    Oh, Seung Jin
    Kim, Hyungchan
    Hong, Youngsun
    FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [30] Error estimation of the impulse response on diffuse wireless infrared indoor channels using a Monte Carlo ray-tracing algorithm
    González, O
    Militello, C
    Rodríguez, S
    Pérez-Jiménez, R
    Ayala, A
    IEE PROCEEDINGS-OPTOELECTRONICS, 2002, 149 (5-6): : 222 - 227