Evaluation of Light Falling Weight Deflectometer for In Situ Measurement of Secondary Deformation Modulus of Various Forest Road Pavements

IF 2.7 2区 农林科学 Q1 FORESTRY Croatian Journal of Forest Engineering Pub Date : 2023-01-01 DOI:10.5552/crojfe.2023.2125
Sylwester M. Grajewski
{"title":"Evaluation of Light Falling Weight Deflectometer for In Situ Measurement of Secondary Deformation Modulus of Various Forest Road Pavements","authors":"Sylwester M. Grajewski","doi":"10.5552/crojfe.2023.2125","DOIUrl":null,"url":null,"abstract":"Roads in forests are necessary for proper forest management and active protection of the natural environment. They facilitate tourism and recreation and have a very important function in firefighting. The cost of building roads in forest areas is considerable, even when relatively cheap materials such as aggregates of natural or anthropogenic origin are used. Therefore, any road investment must be well prepared and executed. Bearing capacity and compaction are among the most important and frequently used geotechnical parameters in road construction. The aim of this study was to determine the possibility of predicting the value of the secondary deformation modulus E2 (obtained from measurements with a static plate load test – PLT) based on measurements with a light falling weight deflectometer (LFWD) Zorn, type ZFG 3000 GPS with a drop weight of 10 kg. The regression analysis included 245 results of bearing capacity measurements carried out on 46 forest road sections with various road pavements. Different regression models were tested: linear, logarithmic, polynomial, exponential and power models, excluding polynomials of fourth and higher degree. Prediction of E2 (PLT) values from dynamic deformation modulus Evd (LFWD) values is possible. However, the reported unsatisfactory strength of the relationship between the two parameters is associated with a high risk of error (r=0.73, R2=0.54, Se=80.37 MN·m-2). Neither the use of more complex non-linear regression models nor the use of multiple regression by introducing an additional estimator in the form of the s/v ratio significantly improved the estimation results. The quality of the prediction of E2 values is not constant. It varies depending on the type of forest road pavements, the use of geosynthetic pavement reinforcements and the type of road subgrade. The study also found that the quality of E2 prediction can be improved by limiting the range of tested Evd values upwards. It is advisable to continue this type of research, as the results obtained could be the basis for developing national standards for the application of LFWD to control the bearing capacity and compaction of forest road surfaces in the future.","PeriodicalId":55204,"journal":{"name":"Croatian Journal of Forest Engineering","volume":"1 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Croatian Journal of Forest Engineering","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.5552/crojfe.2023.2125","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 1

Abstract

Roads in forests are necessary for proper forest management and active protection of the natural environment. They facilitate tourism and recreation and have a very important function in firefighting. The cost of building roads in forest areas is considerable, even when relatively cheap materials such as aggregates of natural or anthropogenic origin are used. Therefore, any road investment must be well prepared and executed. Bearing capacity and compaction are among the most important and frequently used geotechnical parameters in road construction. The aim of this study was to determine the possibility of predicting the value of the secondary deformation modulus E2 (obtained from measurements with a static plate load test – PLT) based on measurements with a light falling weight deflectometer (LFWD) Zorn, type ZFG 3000 GPS with a drop weight of 10 kg. The regression analysis included 245 results of bearing capacity measurements carried out on 46 forest road sections with various road pavements. Different regression models were tested: linear, logarithmic, polynomial, exponential and power models, excluding polynomials of fourth and higher degree. Prediction of E2 (PLT) values from dynamic deformation modulus Evd (LFWD) values is possible. However, the reported unsatisfactory strength of the relationship between the two parameters is associated with a high risk of error (r=0.73, R2=0.54, Se=80.37 MN·m-2). Neither the use of more complex non-linear regression models nor the use of multiple regression by introducing an additional estimator in the form of the s/v ratio significantly improved the estimation results. The quality of the prediction of E2 values is not constant. It varies depending on the type of forest road pavements, the use of geosynthetic pavement reinforcements and the type of road subgrade. The study also found that the quality of E2 prediction can be improved by limiting the range of tested Evd values upwards. It is advisable to continue this type of research, as the results obtained could be the basis for developing national standards for the application of LFWD to control the bearing capacity and compaction of forest road surfaces in the future.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
轻落重偏转仪在现场测量各种森林道路路面二次变形模量的评价
森林道路对于适当的森林管理和积极保护自然环境是必要的。它们促进了旅游和娱乐,并在消防方面发挥了非常重要的作用。在森林地区修建道路的费用是相当大的,即使是使用相对便宜的材料,如天然或人为来源的聚集体。因此,任何道路投资都必须做好充分的准备和执行。承载力和压实是道路施工中最重要和最常用的岩土参数。本研究的目的是确定预测二次变形模量E2值的可能性(从静态板载荷试验- PLT的测量结果中获得)基于轻落锤偏转计(LFWD) Zorn, ZFG 3000型GPS,落锤重量为10 kg。回归分析纳入了46个不同路面类型的森林公路路段的245个承载力测量结果。测试了不同的回归模型:线性、对数、多项式、指数和幂模型,不包括四次及更高次多项式。从动态变形模量Evd (LFWD)值预测E2 (PLT)值是可能的。然而,这两个参数之间不令人满意的关系强度与高误差风险相关(r=0.73, R2=0.54, Se=80.37 MN·m-2)。无论是使用更复杂的非线性回归模型,还是通过引入s/v比率形式的额外估计量来使用多元回归,都不能显著改善估计结果。E2值的预测质量不是恒定的。它取决于森林道路路面的类型,土工合成路面增强材料的使用和道路路基的类型。研究还发现,将Evd检测值的范围向上限制可以提高E2预测的质量。建议继续进行这类研究,所得结果可作为制定今后使用LFWD控制森林路面承载力和压实的国家标准的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.20
自引率
12.50%
发文量
23
审稿时长
>12 weeks
期刊介绍: Croatian Journal of Forest Engineering (CROJFE) is a refereed journal distributed internationally, publishing original research articles concerning forest engineering, both theoretical and empirical. The journal covers all aspects of forest engineering research, ranging from basic to applied subjects. In addition to research articles, preliminary research notes and subject reviews are published. Journal Subjects and Fields: -Harvesting systems and technologies- Forest biomass and carbon sequestration- Forest road network planning, management and construction- System organization and forest operations- IT technologies and remote sensing- Engineering in urban forestry- Vehicle/machine design and evaluation- Modelling and sustainable management- Eco-efficient technologies in forestry- Ergonomics and work safety
期刊最新文献
Incorporating Simulators into a Training Curriculum for Forestry Equipment Operators Comparing Different Replacement Policies for Logging Machines in Brazil Effects of Boom-Corridor and Selective Thinnings on Harvester Productivity in Dense Small Diameter Pyrenean Oak (Quercus pyrenaica Willd.) Coppices in Spain Soil Characteristics in Oak Lowland Stand Assessment of Tractor Tires Used in Forest Conditions in Terms of Traction Performance and Impact on Ground
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1