长江科学院院报2024，Vol.41Issue(3)：118-125,8.DOI:10.11988/ckyyb.20221116
大断面浅埋隧道地表沉降Peck修正公式及其应用
Modified Peck's Formula for Surface Settlement of Large-section Shallow-buried Tunnel and Its Application
摘要
Abstract
The classical Peck's formula fails to account for the impact of tunnel's section shape and buried depth on surface settlement in shallow-buried tunnels with large section.To address this limitation,we introduced a modi-fied Peck's formula by incorporating correction coefficients for sectional shape and buried depth,and verified the validity of the modified formula using measured surface settlement data of the Baitashan Tunnel.The average rela-tive error between predicted and measured values for two monitoring sections is 8.3％,with a maximum relative er-ror of 18.4％.Additionally,we employed the modified Peck's formula to predict surface settlement resulting from tunnel excavation under various sectional shapes and buried depths.The results demonstrate a positive correlation between the maximum surface settlement and the sectional shape correction coefficient,with the following order of maximum surface settlement predicted:rectangle-1(Ⅰ)＞horseshoe-1(Ⅱ)＞circle(Ⅴ)＞rectangle-2(Ⅲ)＞horseshoe-2(Ⅳ).As the burial depth of the large-section shallow-buried tunnel increases,the maximum surface settlement decreases,and the width of surface settlement groove correspondingly widens.The surface settlement curve transitions from being narrow and deep to wide and shallow,while the area of core settlement gradually dimin-ishes.The outcomes presented in this study provide theoretical support and serve as a technical reference for similar projects.关键词
大断面浅埋隧道/地表沉降预测/Peck修正公式/断面形状Key words
shallow-buried tunnel with large section/surface settlement prediction/Peck's correction formula/sectional shape分类
交通工程引用本文复制引用
马昭,张明礼,段旭晗,赵博..大断面浅埋隧道地表沉降Peck修正公式及其应用[J].长江科学院院报,2024,41(3):118-125,8.基金项目
中国科学院"西部青年学者"项目(23JR6KA027) （23JR6KA027）
陇原青年创新创业人才(个人)项目(2023LQGR18) （个人）
甘肃省住房和城乡建设厅建设科技项目(JK2021-49) （JK2021-49）
甘肃省高等学校产业支撑计划项目(2020C-40) （2020C-40）
甘肃省基础研究创新群体项目(20JR5RA478) （20JR5RA478）
