Research on seepage field of concrete dam foundation based on artificial neural network
(چکیده مقاله) :
Abstract :
Abstract Reservoir dams have varying degrees of damage and hidden dangers under long-term
and complex operating conditions, engineering problems mainly focus on the gradual decrease of
seepage stability and guarantee rate of deformation and stability of dam foundation. However,
due to the complexity of the dam foundation structure and the surrounding environment, the performance
degradation of the dam foundation caused by the aging of the impervious structure lacks
a systematic study of the process and its mechanism, In particular, the determination of relevant
seepage parameters is complicated, moreover the simulation accuracy of its inversion model is
not enough to meet the needs of long-term stability evaluation of the dam foundation. In order
to study the seepage stability of the dam foundation of the reservoir during operation, a threedimensional
finite element model of complex geological bodies is combined with artificial neural
network to establish a model of inversion of seepage field in the dam foundation, According to
the 22 groups of predicted grouting schemes, five groups of representative grouting schemes were
selected and the seepage characteristics of the same location were analyzed. The conclusions as
below: (1) the inversion predicted that when the permeability coefficient was in the range of
3.0 10
6 cm/s to 5.0 10
6 cm/s, the change range was small, and the curtain’s anti-seepage
effect was more obvious. (2) The analysis of the dam base surface and the bottom of the grouting
area shows that the difference between the water head and seepage gradient of the dam base surface
and the bottom of the grouting area under the GZ7 and GZ3 schemes vary significantly with the
grouting effect. Among them, especially in the GZ3 scheme, the key parts of the dam foundation
surface F2 F4: the seepage gradient value gradually increases, and all reach the maximum value
in the GZ3 scheme; For G6 G15 at the bottom of the grouting area, the water head value under
the GZ3 scheme is gradually smaller than the three grouting schemes of GZ11, GD3 and GD7, as the
water head value gradually decreases, the anti-seepage effect becomes more and more obvious.
and complex operating conditions, engineering problems mainly focus on the gradual decrease of
seepage stability and guarantee rate of deformation and stability of dam foundation. However,
due to the complexity of the dam foundation structure and the surrounding environment, the performance
degradation of the dam foundation caused by the aging of the impervious structure lacks
a systematic study of the process and its mechanism, In particular, the determination of relevant
seepage parameters is complicated, moreover the simulation accuracy of its inversion model is
not enough to meet the needs of long-term stability evaluation of the dam foundation. In order
to study the seepage stability of the dam foundation of the reservoir during operation, a threedimensional
finite element model of complex geological bodies is combined with artificial neural
network to establish a model of inversion of seepage field in the dam foundation, According to
the 22 groups of predicted grouting schemes, five groups of representative grouting schemes were
selected and the seepage characteristics of the same location were analyzed. The conclusions as
below: (1) the inversion predicted that when the permeability coefficient was in the range of
3.0 10
6 cm/s to 5.0 10
6 cm/s, the change range was small, and the curtain’s anti-seepage
effect was more obvious. (2) The analysis of the dam base surface and the bottom of the grouting
area shows that the difference between the water head and seepage gradient of the dam base surface
and the bottom of the grouting area under the GZ7 and GZ3 schemes vary significantly with the
grouting effect. Among them, especially in the GZ3 scheme, the key parts of the dam foundation
surface F2 F4: the seepage gradient value gradually increases, and all reach the maximum value
in the GZ3 scheme; For G6 G15 at the bottom of the grouting area, the water head value under
the GZ3 scheme is gradually smaller than the three grouting schemes of GZ11, GD3 and GD7, as the
water head value gradually decreases, the anti-seepage effect becomes more and more obvious.
(توضیحات تکمیلی) :
(توضیحات تکمیلی) :
Description :
مقاله ISI انگلیسی اصلی
سال انتشار: 2021
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 14 صفحه
سال انتشار: 2021
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 14 صفحه
Authors / Descriptions(نویسندگان/توضیحات): مقاله ISI سال انتشار: 2021 / نویسندگان: Hongyang Zhang a,b, Ziyi Song a, Peng Peng c, Yadong Sun a, Zelin Ding a,b, Xianqi Zhang
Sent date(تاریخ ارسال) :
1400/01/12 | 4/1/2021
Number of visits(تعداد بازدید):
417
Key words (کلمات کلیدی):
Concrete dam foundation; Artificial neural networks; Permeability coefficient; Seepage field characteristics; Regularity of change
Number of pages(تعداد صفحات) :
14
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