Physics-Informed Neural Network Solution of Thermo–Hydro–Mechanical Processes in Porous Media

نویسندگان

چکیده

Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations (PDE). However, their application to multiphysics problem, governed several coupled PDEs, present unique challenges that hindered the robustness widespread applicability this approach. Here we investigate PINNs forward solution involving thermo-hydro-mechanical (THM) processes in porous media, which exhibit disparate spatial temporal scales thermal conductivity, hydraulic permeability, elasticity. In addition, are faced with multi-objective non-convex nature optimization problem. To address these fundamental issues, we: (1)~rewrite THM governing dimensionless form is best suited deep-learning algorithms; (2)~propose a sequential training strategy circumvents need simultaneous problem facilitates task optimizers search; (3)~leverage adaptive weight strategies overcome stiffness gradient flow Finally, apply framework synthetic 1D and~2D.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prediction of Time of Capillary Rise in Porous Media Using Artificial Neural Network (ANN)

An Artificial Neural Network (ANN) was used to analyse the capillary rise in porous media. Wetting experiments were performed with fifteen liquids and fifteen different powders. The liquids covered a wide range  of  surface  tension ( 15.45-71.99  mJ/m2 )  and  viscosity (0.25-21 mPa.s). The powders also provided an acceptable range of particle size (0.012-45 μm) and surface free...

متن کامل

prediction of time of capillary rise in porous media using artificial neural network (ann)

an artificial neural network (ann) was used to analyse the capillary rise in porous media. wetting experiments were performed with fifteen liquids and fifteen different powders. the liquids covered a wide range  of  surface  tension ( 15.45-71.99  mj/m2 )  and  viscosity (0.25-21 mpa.s). the powders also provided an acceptable range of particle size (0.012-45 μm) and surface free energy (25.54-...

متن کامل

analysis of power in the network society

اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...

15 صفحه اول

Development of an in-cylinder processes model of a CVVT gasoline engine using artificial neural network

Today, employing model based design approach in powertrain development is being paid more attention. Precise, meanwhile fast to run models are required for applying model based techniques in powertrain control design and engine calibration. In this paper, an in-cylinder process model of a CVVT gasoline engine is developed to be employed in extended mean valve control oriented model and also mod...

متن کامل

A New Approach for Constructing Pore Network Model of Two Phase Flow in Porous Media

Development of pore network models for real porous media requires a detailed understanding of physical processes occurring on the microscopic scale and a complete description of porous media morphology. In this study, the microstructure of porous media has been represented by three dimensional networks of interconnected pores and throats which are designed by an object oriented approach. Af...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Engineering Mechanics-asce

سال: 2022

ISSN: ['1943-7889', '0733-9399']

DOI: https://doi.org/10.1061/(asce)em.1943-7889.0002156