Investigation of strength behavior of thermally deteriorated sedimentary rocks subjected to dynamic cyclic loading

Waqas, Umer; Ahmed, Muhammad Farooq

doi:10.1016/j.ijrmms.2022.105201

Cited by 10 publications

(2 citation statements)

References 35 publications

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“…Their results demonstrated that the sand shows a negligible response to the strain rate and initial density. Waqas et al (2022) investigated the strength behavior of thermally damaged rock subjected to dynamic cyclic loading. They established the prediction model of rock stiffness with respect to the strength improvement factor.…”

Section: Introductionmentioning

confidence: 99%

Development and applications of the quasi‐dynamic triaxial apparatus for deep rocks

Luo,

Cai,

et al. 2023

Deep Underground Science and Engineering

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The mechanical behaviors of deep rocks have always posed a challenge for the implementation and safe operation of major underground engineering projects. To this end, this study modified the existing mainstream rock mechanics instruments equipped with a dynamic disturbance loading system and developed a second‐generation TFD‐2000/D triaxial instrument. The first‐generation device is equipped with an independent disturbance system and an advanced EDC‐580 all‐digital servo controller, which can apply disturbing load independently, implement the function of cyclic disturbance, and combine dynamic and static disturbances. The instrument was found to be reliable for use in analyzing the damage process of rocks in the disturbance test of marbles. The second‐generation instrument tackles three limitations of the first‐generation instrument: (i) it upgrades the strain measurement system and uses extensometers with linear variable differential transformers to accurately measure deformation; (ii) it uses the self‐balanced chamber to replace the Hoek–Franklin triaxial cell and auto‐balancing triaxial pressure chamber; and (iii) the loading rod is independently equipped with an EDC‐580 all‐digital servo controller, which measures precise loads. The experimental findings confirmed that the second‐generation instrument can be used for rock mechanics testing under cyclic disturbance loading, the disturbance–stress relaxation cycle, and the creep–fatigue cycle. In this sense, the second‐generation instrument can be a useful addition to deep rock mechanical instruments and provide a valuable reference.

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Section: Introductionmentioning

confidence: 99%

Development and applications of the quasi‐dynamic triaxial apparatus for deep rocks

Luo,

Cai,

et al. 2023

Deep Underground Science and Engineering

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“…When working with DL, three sets (training, validation, and tests) usually perform the study and validate of results (Lei et al, 2023;Lu et al, 2022;Maharjan et al, 2022;Waqas and Ahmed, 2022). The DL model is usable when achieving adequate performance for the objective task.…”

Section: Deep Learning Model Trainingmentioning

confidence: 99%

Generalization of the Deep Learning Model for Natural Gas Indication in 2d Seismic Image Based on the Training Dataset and the Operational Hyper Parameters Recommendation

FERNANDO MARIN SEPULVEDA

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I especially thank my advisors whose example, guidance and constant support have made me a better professional and human. Likewise, I thank my colleagues, both from Rio de Janeiro and São Luís, since their constant help has allowed me to advance. Finally, I thank my dear family, who at all times in my life have supported me and encouraged me to overcome any obstacle.To all of you my most sincere thanks.

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Designing of Meta-barriers Using a Novel Cloaking Method to Attenuate Strong Ground Motion

Waqas,

Iqbal,

Al-Atroush

2024

Lecture Notes in Civil Engineering

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Investigation of strength behavior of thermally deteriorated sedimentary rocks subjected to dynamic cyclic loading

Cited by 10 publications

References 35 publications

Development and applications of the quasi‐dynamic triaxial apparatus for deep rocks

Development and applications of the quasi‐dynamic triaxial apparatus for deep rocks

Generalization of the Deep Learning Model for Natural Gas Indication in 2d Seismic Image Based on the Training Dataset and the Operational Hyper Parameters Recommendation

Designing of Meta-barriers Using a Novel Cloaking Method to Attenuate Strong Ground Motion

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