Numerical and experimental research on road traffic noise propagation for various type of road structure and development of environmental noise prediction method

各类道路结构的道路交通噪声传播数值与实验研究及环境噪声预测方法开发

基本信息

  • 批准号:
    13650649
  • 负责人:
  • 金额:
    $ 0.38万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2001
  • 资助国家:
    日本
  • 起止时间:
    2001 至 2002
  • 项目状态:
    已结题

项目摘要

Though the road traffic is indispensable to our society because it supports the industrial basis, it also causes the serious problems such as the noise or air pollution and it threats our life. Especially, in Tokyo and its suburban areas which have enormous traffic volume, the problem is more serious and precise prediction method of noise environment is strongly required for the urban design. In order to deal with such a noise problem, noise propagation mechanism in the special parts of road structures which is peculiar to urban areas have been analyzed by both of numerical analysis and scale model experiments in this research and the following outcomes have been obtained.[1] Study on sound attenuation effect of various type of noise barriers and embankmentRecently, various types of noise barriers have been developed and adopted on the areas where noise problem is serious. However, the noise prediction method has not been fully examined and its design procedure is not established enoug … More h. In this study, numerical analysis and experimental examination on such types of noise barriers and embankments were performed and the basic quantitative data and knowledge which are effectively applied for making the noise prediction model have been obtained.[2] Applicability of numerical method based on wave theoryNumerical analysis technique based on the wave theory is indispensable for predicting noise environments in the area with geometrical complex. In this research, the applicability of the 2-D numerical analysis to 3-D real environment are quantitatively examined. On the insertion loss of the noise barriers, quantitative difference between 2-D numerical analysis and 3-D experimental values for various sound source conditions have been clarified.[3] Sound source modeling for environmental noise prediction around semi-underground roadsIn order to establish noise prediction method for semi-underground roads, the new concept for sound source model have been proposed in this research and its applicability has been examined by 2-D numerical analysis and 3-D scale model experiments. Furthermore, in order to grasp the noise radiation characteristics from semi-under ground road, an in-situ measurement has been conducted. Less
虽然道路交通对于我们的社会来说是不可或缺的,因为它支撑着工业基础,但它也造成了噪音或空气污染等严重问题,威胁着我们的生命。尤其是在交通量巨大的东京及其郊区,该问题更为严重,城市设计强烈需要精确的噪声环境预测方法。针对这一噪声问题,本研究通过数值分析和缩比模型实验相结合的方法,对城市道路结构特殊部位的噪声传播机理进行了分析,取得了以下成果。[1]各类隔音屏障及路堤的消声效果研究近年来,在噪声问题严重的地区,已开发并采用了多种类型的隔音屏障。然而,噪声预测方法尚未得到充分检验,其设计程序也尚未建立充分…… 更多 h.本研究对此类隔音屏障和路堤进行了数值分析和实验检验,获得了有效应用于噪声预测模型构建的基本定量数据和知识。 [2]基于波动理论的数值方法的适用性 基于波动理论的数值分析技术对于几何复杂区域的噪声环境预测是不可缺少的。在本研究中,定量检验了 2D 数值分析对 3D 真实环境的适用性。关于隔音屏障的插入损耗,各种声源条件下的二维数值分析和三维实验值之间的定量差异已得到澄清。 [3]半地下道路周围环境噪声预测的声源建模为了建立半地下道路噪声预测方法,本研究提出了声源模型的新概念,并通过二维数值分析和三维比例模型实验检验了其适用性。此外,为了掌握半地下道路的噪声辐射特性,还进行了现场测量。较少的

项目成果

期刊论文数量(21)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Shinichi Sakamoto and Hideki Tachibana: "Visualization of sound propagation around several types of road structures by the finite difference method"Proceedings of VS Tech 2001. 163-166 (2001)
Shinichi Sakamoto 和 Hideki Tachibana:“通过有限差分法可视化几种类型道路结构周围的声音传播”Proceedings of VS Tech 2001. 163-166 (2001)
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    0
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Shinichi Sakamoto, Hideki Tachibana: "Study on simplified calculation model for prediction of noise radiation from semi-underground roads"Proceedings of Inter-noise 2002. (in CD-ROM). N634 (2002)
Shinichi Sakamoto、Hideki Tachibana:“半地下道路噪声辐射预测的简化计算模型研究”Inter-noise 2002 年论文集。(CD-ROM)。
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    0
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Shinichi Sakamoto, Hideki Tachibana: "Numerical study on sound propagation from depressed/semi-underground roads"Proceedings of Inter Noise 2001. 2375-2380 (2001)
Shinichi Sakamoto、Hideki Tachibana:“凹陷/半地下道路声音传播的数值研究”Proceedings of Inter Noise 2001. 2375-2380 (2001)
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    0
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坂本慎一, 成 榮慶, 橘 秀樹: "音源条件の違いによる遮音壁の挿入損失の差異に関する実験"日本音響学会春季研究発表会講演論文集. 957-958 (2002)
Shinichi Sakamoto、Eikei Nari、Hideki Tachibana:“不同声源条件下隔音墙插入损耗差异的实验”日本声学学会春季会议论文集957-958(2002)。
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    0
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成 榮慶, 坂本慎一, 橘 秀樹: "半地下道路からの騒音放射特性に関する模型実験"日本音響学会春季研究発表会講演論文集. 955-956 (2002)
Eikei Nari、Shinichi Sakamoto、Hideki Tachibana:“半地下道路噪声发射特性的模型实验”日本声学学会春季会议记录 955-956(2002 年)。
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SAKAMOTO Shinichi其他文献

SAKAMOTO Shinichi的其他文献

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{{ truncateString('SAKAMOTO Shinichi', 18)}}的其他基金

Developent of measurement method of material's acoustical properties by using a parametric loudspeaker
参数化扬声器材料声学特性测量方法的开发
  • 批准号:
    26630260
  • 财政年份:
    2014
  • 资助金额:
    $ 0.38万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
Differentiated imaging of microstructures in brain tumors using phase difference enhanced imaging (PADRE) by high magnetic field MRI system
高磁场 MRI 系统使用相位差增强成像 (PADRE) 对脑肿瘤微结构进行差异化成像
  • 批准号:
    25461843
  • 财政年份:
    2013
  • 资助金额:
    $ 0.38万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Development of numerical sound field reproduction system in consideration of directivity
考虑指向性的数值声场再现系统的开发
  • 批准号:
    23360254
  • 财政年份:
    2011
  • 资助金额:
    $ 0.38万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Development and clinical application of non-invasive imaging technique for cerebral ischemic area using magnetoencephalography
脑缺血区无创脑磁图成像技术的发展及临床应用
  • 批准号:
    22591349
  • 财政年份:
    2010
  • 资助金额:
    $ 0.38万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Functional analysis of Talin1 in prostate cancer and application into taylormade medicine
Talin1在前列腺癌中的功能分析及其在泰勒梅医学中的应用
  • 批准号:
    22791469
  • 财政年份:
    2010
  • 资助金额:
    $ 0.38万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)

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Genome analysis-based prediction model development for response to stereotactic radiosurgery in benign brain tumors
基于基因组分析的预测模型开发,用于良性脑肿瘤立体定向放射外科治疗的反应
  • 批准号:
    23K08495
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    2023
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利用脐带血基因组学和表观基因组学开发和验证儿童肥胖联合风险预测模型
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    23H02880
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    2023
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Establishment of human abdominal aortic aneurysm wall strength prediction model using Ex Vivo Superparamagnetic Iron Oxide–Enhanced Magnetic Resonance Imaging
利用Ex Vivo超顺磁性氧化铁建立人体腹主动脉瘤壁强度预测模型
  • 批准号:
    23K08226
  • 财政年份:
    2023
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Deep learning-based prediction model for intraoperative neuromuscular blockade
基于深度学习的术中神经肌肉阻滞预测模型
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    23K14406
  • 财政年份:
    2023
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External validation of a clinical prediction model for infective endocarditis among patients with undiagnosed fever: A multi-center prospective observational study
未确诊发热患者感染性心内膜炎临床预测模型的外部验证:一项多中心前瞻性观察研究
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    23K14739
  • 财政年份:
    2023
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    $ 0.38万
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    Grant-in-Aid for Early-Career Scientists
Development of a dropout prediction model to understand the intervention effects of dropout prevention measures
开发辍学预测模型以了解辍学预防措施的干预效果
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    23K02668
  • 财政年份:
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Development of an Integrated Risk Prediction Model of Taxane-induced Peripheral Neuropathy
紫杉烷诱发的周围神经病变综合风险预测模型的开发
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    10566077
  • 财政年份:
    2023
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A Clinical Prediction Model for the Diagnosis of Immune Thrombocytopenia
免疫性血小板减少症诊断的临床预测模型
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    480268
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    2023
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Establishment of a Tumor Immune Microenvironment Prediction Model and a Diagnosis Algorithm for Rim Enhancement Using Breast MRI
乳腺MRI肿瘤免疫微环境预测模型及边缘增强诊断算法的建立
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    23K14856
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