Muhammad Zainul Arifin, Prabowo Prabowo, Agus Dwi Wicaksono
{"title":"Modeling of road damage prediction due to overload using HDM-4 method","authors":"Muhammad Zainul Arifin, Prabowo Prabowo, Agus Dwi Wicaksono","doi":"10.21303/2461-4262.2024.003243","DOIUrl":null,"url":null,"abstract":"The road use load should essentially conform to the plan load as stated in the design guidelines. But in reality, the load received by the road is more than standard, so it has the potential to accelerate road damage. This study aims to predict the increase in the value of the International Roughness Index (IRI) and model the increase in value (IRI) due to overload. The approach method used in the analysis is the prediction of an increase in the IRI value due to excess load. The data collection method is carried out on road sections which include IRI values, vehicle load testing, CBR values and environmental conditions. The location of data collection is carried out on BTS Provincial Road. Surabaya City – Legundi. The analysis method for the prediction of the IRI value is the HDM-4 method, while to model the prediction of the increase in the IRI value is used exponential method with various parameters related to the results. The prediction results show that overload affects the increase in the IRI value. From the initial IRI value of 2.37, if the road is traversed by vehicles with standard loads for 20 years, the IRI value increases to 10.42. While the road traveled by overloaded vehicles within 20 years from an IRI value of 2.37 will increase to 16.88. With overload, the IRI value increases very sharply with the exponential model y=2.3583e0.0982x. While the standard load by generating an exponential model y=2.3825e0.0739x. From the results of the exponential model, load overload resulted in a significant increase in the IRI value with a growth rate of 0.0982. When compared to normal expenses which only experienced a growth rate of 0.0739. The modeling results show that overload will increase the growth of very high IRI values with the exponential model increase graph","PeriodicalId":11804,"journal":{"name":"EUREKA: Physics and Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EUREKA: Physics and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21303/2461-4262.2024.003243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The road use load should essentially conform to the plan load as stated in the design guidelines. But in reality, the load received by the road is more than standard, so it has the potential to accelerate road damage. This study aims to predict the increase in the value of the International Roughness Index (IRI) and model the increase in value (IRI) due to overload. The approach method used in the analysis is the prediction of an increase in the IRI value due to excess load. The data collection method is carried out on road sections which include IRI values, vehicle load testing, CBR values and environmental conditions. The location of data collection is carried out on BTS Provincial Road. Surabaya City – Legundi. The analysis method for the prediction of the IRI value is the HDM-4 method, while to model the prediction of the increase in the IRI value is used exponential method with various parameters related to the results. The prediction results show that overload affects the increase in the IRI value. From the initial IRI value of 2.37, if the road is traversed by vehicles with standard loads for 20 years, the IRI value increases to 10.42. While the road traveled by overloaded vehicles within 20 years from an IRI value of 2.37 will increase to 16.88. With overload, the IRI value increases very sharply with the exponential model y=2.3583e0.0982x. While the standard load by generating an exponential model y=2.3825e0.0739x. From the results of the exponential model, load overload resulted in a significant increase in the IRI value with a growth rate of 0.0982. When compared to normal expenses which only experienced a growth rate of 0.0739. The modeling results show that overload will increase the growth of very high IRI values with the exponential model increase graph
道路使用荷载基本上应符合设计准则中规定的计划荷载。但实际上,道路承受的荷载超过了标准,因此有可能加速道路损坏。本研究旨在预测国际路面粗糙度指数(IRI)值的增加,并对超载导致的(IRI)值增加进行建模。分析中使用的方法是预测超载导致的 IRI 值增加。数据收集方法在路段上进行,包括 IRI 值、车辆荷载测试、CBR 值和环境条件。数据收集地点位于 BTS 省道。泗水市 - Legundi。预测 IRI 值的分析方法是 HDM-4 方法,而预测 IRI 值增加的模型则使用了指数法,其中包含与结果相关的各种参数。预测结果表明,超载会影响 IRI 值的增加。初始 IRI 值为 2.37,如果车辆以标准载荷在道路上行驶 20 年,IRI 值会增加到 10.42。而超载车辆在 20 年内行驶的道路,IRI 值将从 2.37 增至 16.88。超载后,IRI 值会急剧增加,指数模型为 y=2.3583e0.0982x。而在标准负载下生成的指数模型为 y=2.3825e0.0739x。从指数模型的结果来看,超载导致 IRI 值显著增加,增长率为 0.0982。而正常开支的增长率仅为 0.0739。建模结果表明,超载将增加极高 IRI 值的增长,指数模型增长图