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應用雙曲線模型識別室內CBR試驗之力學參數-以瀝青刨除料混拌紅土為例

摘要


因應瀝青鋪面刨除料再生利用,欲達瀝青刨除料去化之最終使用目標。本文以不同瀝青刨除料添加比例,混和紅土級配粒料,在試驗室進行CBR試驗,評估瀝青刨除料取代比例多寡,並進行評估影響CBR試驗結果之因素,並利用雙曲線模型(Hyperbolic Model)模擬貫入荷重與位移關係之應力應變關係,用以識別經驗力學參數,其由試驗結果可以發現隨著瀝青刨除料添加比例增加,CBR值則顯著增加,其應力應變關係則呈現應變硬化之趨勢,由雙曲線模型則可以合理模擬應力應變關係發展,依不同比例瀝青鋪面刨除料之添加量,所識別之參數則可以提供業界作為瀝青刨除料混拌紅土之CBR預測使用。

參考文獻


CNS 12382,夯實土樣加州載重比試驗法,經濟部標準檢驗局,2006。
Farooq, K.,Mujtaba, H.(2017).Prediction of California Bearing Ratio (CBR) and Compaction Characteristics of Granular Soil.Acta Geotechnica Slovenica.14(1),63-72.
Katte, V.Y.,Mfoyet, S.M.,Manefouet, B.,Wouatong, A.S.L.,Bezeng, L.A.(2019).Correlation of California bearing ratio (CBR) value with soil properties of road subgrade soil.Geotechnical and Geological Engineering.37,217-234.
Taha, S.,Gabr, A.,El-Badawy, S.(2019).Regression and neural network models for California bearing ratio prediction of typical granular materials in Egypt.Arabian Journal for Science and Engineering.44,8691-8705.
Duque, J.,Fuentes, W.,Rey, S.,Molina, E.(2020).Effect of grain size distribution on california bearing ratio (CBR) and modified proctor parameters for granular materials.Arabian Journal for Science and Engineering.45(10),8231-8239.

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