Study on Estimation Method of Durability for Reinforced Concrete Structures under Chloride Contaminated Environment

氯化物污染环境下钢筋混凝土结构耐久性评估方法研究

• 批准号: 13650636
• 负责人: YAMADA Yoshitomo
• 金额: $ 1.6万
• 依托单位: University of the Ryukyus
• 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
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-13650636/
• 关键词: Chloride Ions; Air Born chlorides; Penetrating Process of Chloride Ions; Durability; Finite Element Method; Neural-Network; 劣化予測; 鉄筋腐食状態; 腐食限界塩化物イオン量; 飛来塩分量; HSMAC法; 鉄筋コンクリート構造物

In order to perform rational durability design and proper diagnosis of reinforced concrete structures under chloride contaminated environment, it is necessary to understand the characteristics of air born chlorides and clarify the penetrating process of chloride ions into concrete. Also, it becomes important to evaluate the amount of chloride ions around steel reinforcement quantitatively relating with time. Therefore, this research presents experimental and analytical studies on the characteristics of air born chlorides and the penetrating process of chloride ions into concrete.The outline of the discussion about research result is as following;The background of this research and wide survey of related researchers are presented in order to show the purpose of this research.1. The advection and diffusion equation of air born chlorides proposed here takes account of the surface roughness and the shielding effect due to barriers. The analytical results of the proposed equation are obtained by using the finite element method (F.E.M.), and the results are compared to the field data. It is confirmed that they are closely related each other qualitatively and quantitatively.2. This paper proposes an evaluating method of chloride ion content in concrete by the Neural-Network. Output data from the Neural-Network are confirmed to present proper values which are closely related to the measured data.Recently, premature deterioration of existing reinforced concrete structures has become a public concern and future reinforced concrete structures are required to have durability. Therefore, the results from this research are believed to give valuable information for durability design and diagnosis of reinforced concrete structures under chloride contaminated environment.

为了在氯化物受污染的环境下进行有理耐用性设计并正确诊断钢筋混凝土结构，有必要了解空出生氯化物的特征，并阐明氯离子的穿透性过程。同样，评估与时间定量相关的钢加固周围的氯离子量变得重要。因此，本研究介绍了关于空出生氯化物的特征以及氯离子进入混凝土的特征的实验和分析研究。有关研究结果的讨论的轮廓如下：这项研究的背景和对相关研究人员的广泛调查是为了显示本研究的目的。1。这里提出的空气氯化物的对流和扩散方程考虑了由于障碍物的表面粗糙度和屏蔽效应。通过使用有限元方法（F.E.M.）获得所提出方程的分析结果，并将结果与​​现场数据进行比较。证实他们在定性和定量上彼此之间密切相互联系。2。本文提出了一种通过神经网络中氯离子含量的评估方法。确认来自神经网络的输出数据具有与测量数据密切相关的适当值。实际上，现有钢筋混凝土结构的过早恶化已成为公众关注的问题，并且需要未来的钢筋混凝土结构才能具有耐用性。因此，这项研究的结果被认为提供了有价值的信息，以设计耐用性设计和在氯化物污染环境下的钢筋混凝土结构的诊断。

项目成果

Nagamine Kengo, Yamada Yoshitomo, Oshiro Takeshi: "Determination of Boundary Condition Related to Chloride Diffusion Analysis by Neural Network"Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. Vol. A-1. 591-592 (2002)

Nagamine Kengo、Yamada Yoshitomo、Oshiro Takeshi：“神经网络确定与氯化物扩散分析相关的边界条件”日本建筑学会年会技术论文摘要。

長嶺健吾, SORN Viar, 山田義智, 大城武: "フライアッシュを細骨材の一部代替として用いたコンクリートの塩化物イオン浸透性状と鉄筋の防食性に関する研究-その2.鉄筋の防食性-"日本建築学会九州支部研究報告. 第42号. 5-8 (2003)

Kengo Nagamine、SORN Viar、Yoshitomo Yamada、Takeshi Oshiro：“粉煤灰部分替代细骨料的混凝土氯离子渗透性能及钢筋耐腐蚀性能的研究 - 第 2 部分：钢筋的耐腐蚀性能 -”日本建筑学会九州分会研究报告书No. 42. 5-8 (2003)

仲地司, 山田義智: "内陸部における飛来塩分量の予測シミュレーション(沖縄県宜野湾市の伊佐地区を例として)"日本建築学会九州支部研究報告. 第42号. 161-164 (2003)

中地司、山田义智：“内陆地区空气中盐分含量的预测模拟（以冲绳县宜野湾市伊佐地区为例）”日本建筑学会九州分会研究报告第42. 161-164号（2003年）。 ）

長嶺健吾, 山田義智, 大城武: "Neural Networkによる塩分浸透解析の境界条件設定"日本建築学会大会学術講演梗概集(北陸). A-1. 591-592 (2002)

Kengo Nagamine、Yoshitomo Yamada、Takeshi Oshiro：“使用神经网络设置盐渗透分析的边界条件”日本建筑学会会议记录（Hokuriku）（A-1）。