(吉林大學(xué) 儀器科學(xué)與電氣工程學(xué)院 地球信息探測(cè)儀器教育部重點(diǎn)實(shí)驗(yàn)室，長(zhǎng)春 130026)
摘 要: 依據(jù)地下探測(cè)的全空間特點(diǎn)，首次提出準(zhǔn)全空間探測(cè)模型，推導(dǎo)準(zhǔn)全空間MRS響應(yīng)核函數(shù)表達(dá)式，有效剔除隧道已挖空區(qū)域在計(jì)算結(jié)果中的影響，提高M(jìn)RS正演計(jì)算準(zhǔn)確度。同時(shí)，反演方法采用序列二次規(guī)劃法進(jìn)行，完成了地下準(zhǔn)全空間模型磁共振數(shù)據(jù)非線性反演。理論數(shù)據(jù)中，對(duì)比地面半空間、地下全空間的反演結(jié)果，準(zhǔn)全空間模型能更精確地反演地下災(zāi)害水體位置及含量, 且在含噪10%的情況下仍然得到較為理想的反演結(jié)果。在理論研究的基礎(chǔ)上，結(jié)合金溫鐵路澤雅隧道的MRS現(xiàn)場(chǎng)測(cè)試，對(duì)掘進(jìn)掌字面前方隱伏含水構(gòu)造進(jìn)行解釋，并利用瞬變電磁數(shù)據(jù)對(duì)MRS探測(cè)結(jié)果進(jìn)行了一致性的比對(duì)分析。該項(xiàng)研究表明準(zhǔn)全空間探測(cè)模型結(jié)合SQP反演算法能夠準(zhǔn)確給出地下災(zāi)害水體的定位及富水程度，實(shí)現(xiàn)地下水害的超前準(zhǔn)確預(yù)報(bào)，為隧道磁共振探測(cè)提供理論基礎(chǔ)。
關(guān)鍵字: 隧道；磁共振測(cè)深；準(zhǔn)全空間；序列二次規(guī)劃
（Key Laboratory of Geo-Exploration Instrumentation, Ministry of Education, Jilin University,
College of Instrumentation and Electrical Engineering, Changchun 130026, China）
Abstract:Based on of the whole-spatial characteristics of underground exploration, the quasi-whole space detection model was proposed for the first time, the quasi-whole space response kernel function of MRS was derived. The effect of the hollowed out area of the tunnel in the calculation result is eliminated effectively and MRS forward calculation accuracy is improved. Meanwhile, with the sequential quadratic programming (SQP) inversion method, the nonlinear inversion of magnetic resonance data of the underground quasi-whole space model is fulfilled. In the theoretical data, contracting the inversion results of ground half space with the underground space, quasi-whole space model can be more accurate in the inversion of underground disaster water’s position and content, and a good inversion result even under the condition of containing 10% noise is gained. Based on the theoretical research and combining with MRS field testing of Zeya Tunnel of Jin Wen Railway, the water-bearing structure hidden in the tunneling tunnel face was explained, and the consistency of the detecting results comparatively was analyzed. The results show that the whole space exploration model combining SQP inversion algorithm can give the position of underground disaster water and water-bearing level accurately, and the prediction of groundwater harm accurately is achieved to lay a theoretical foundation for MRS detection of the tunnel.
Key words: tunnel; magnetic resonance detection; quasi-whole space; sequential quadratic programming
