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Journal : physics communication

Expansion of the Double Pendulum System and Its Decomposition Model: Systematic Literature Review Anisa Zulfa Nadia; Joko Siswanto; Joko Saefan
Physics Communication Vol. 9 No. 2 (2025): August 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v9i2.21721

Abstract

Double pendulum is a mechanical system that exhibits complex dynamic behavior, often used to study nonlinear dynamics and chaos. Along with the development of research, this system has been extended with the addition of several new constraints. This research aims to conduct a Systematic Literature Review (SLR) related to the extension of the double pendulum system and the formulation of the relevant equations of motion. The article search was conducted systematically, resulting in 27 documents that met the inclusion criteria. The results of the analysis show that the extension of the gantry pendulum crane system with a payload is the main focus in this study. In addition, the most frequently used decomposition model is a mathematical model with a Lagrangian approach. These findings provide deep insights for further development of mathematical models as well as their applications in the fields of robotics, system control, and dynamic structural analysis.
Comparison of Physics-Informed Neural Networks (PINNs) and Experimental Reality in Fluid Viscosity Dynamics Elgana Septiana; Joko Saefan; Joko Siswanto
Physics Communication Vol. 10 No. 1 (2026): February 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/pc.v10i1.45531

Abstract

Determining fluid viscosity using the conventional falling-sphere method is frequently confronted with challenges related to experimental variability and measurement instrument limitations. As an alternative, Physics-Informed Neural Networks (PINNs) offer a computational approach capable of integrating physical laws into the neural network architecture. This study aims to evaluate the predictive accuracy of the PINNs model regarding the velocity of a falling sphere, as well as to compare it with the analytical solution of Stokes flow and experimental data. Data collection was conducted using a viscometer equipped with five infrared sensors, while the PINNs model was trained by balancing the experimental data loss and the physics loss derived from the equation of motion. The comparative results demonstrate that PINNs generally succeed in modeling the dynamics of the sphere's motion, convergently reaching terminal velocity. Nevertheless, two primary modeling limitations were identified. First, the model experiences an overshoot during the initial phase of motion due to the network's spectral bias effect when responding to drastic velocity changes. Second, the experimental data reveal a persistent velocity deceleration in the final phase that both the analytical and PINNs predictions failed to capture. This empirical anomaly indicates the occurrence of a shift in boundary-layer separation alongside the thixotropic effects of the fluid. In conclusion, PINNs prove to be a promising approach for bridging the gap between computational modeling and experimentation; however, this architecture still requires the inclusion of dynamic parameters to fully accommodate the complexity of fluids under real-world conditions.
Co-Authors Abd. Rasyid Syamsuri Achmad Buchori Adi Darma Surya Adi Winarso Adif Fatus Syarofah Agus Sutono AGUSTIN WULANDARI Aili liila Alvin Nor Maulida Anggita Nova Anisa Zulfa Nadia Anita Chandra Dewi Sagala Aprilia Rahmayani Arifah Nur Aini Arifah Nur Aini Aris Tri Jaka Harjanta, Aris Tri Ary Susatyo Nugroho Aryo Andri Nugroho Asmuni Astutik `Astutik Binar Kurnia Prahani Budi Jatmiko Budiyono Saputro Cahyati Fitriyati Choirul Hadiyati Choirul Huda Desi Afrianti Dessy Indah Saputri Dhian Ikka Widhyawati Diah Fitri Handayani Dianita Rokhmiati Ning Dwi Prasetiyawati Diyah Hariyanti Dwi Prasetiyawati Dyah Hariyanti Efendi Efendi Eka Yuliana Elgana Septiana Elis Dwi Purbiyanti Endang Susantini Endra Sattrahing Jaya Kusuma Eny Hartadiyati Ernawati Saptaningrum Fafa Nurdyansyah Fajar Triyanto Farida Martiani Fathia Filma Nukiki Fazal Muna Fenny Roshayanti Fenny Roshayanti Feny Indriyani Feny Roshayanti Ferina Agustini Fikria Luluul Azka Harto Nuroso Helmiyatus Safitri Husni Mubarok Ibnu Fatkhu Royana Ida Dwijayanti Iin Purnamasari Iin Purnamasari Imam Khazali Indah Sukmawati Intan Indiati Irna Farikhah Isayazi Durrouwi Joko Saefan Joko Siswanto Joko Sulianto . . Khilman Najib Kukuh Sugandi Kuswanto Laily Rosida Lassa Ana Pujana Laswadi Arif Tayuda Layyin Isyroqun Nadhifah Lina Putriyanti Lina Tajqiyah Lylan Alfiani Wijaya M. Syaipul Hayat Mei Fita Asri Untari Mei Fita Asri Utari MIRA ESTI KUSUMANINGRUM Mislah Mislah muhammad ainu syifa Muhammad Arief Budiman Muhammad Syaipul Hayat Muhammad Yusuf Setia Wardana Mulyani Mulyani Mutamimah Mutamimah Nabila Framesti Anita Yulianingsih Naimatul Mufida Ninin Harjiyanti Normasintasari Kusumawardani Novanto Eka Wahyu Novemy Kanitri Novemy Kanitri Nur Chasanah Nur Hidayah Nur Hidayati Puspita Sari Nur Hidayati Puspita Sari Nur Khoiri NURIL ISKARIMA Nurmansyah Arief Setiyawan Nurul Khikmah pramesti indria Pramesti Indriastuti Prastiyono Pratjojo Pratjojo Puji Lestari Qo'im Rohmawati Qurrotul Ainiyyah Rahmat Robi Waliyansyah Raisa Hadianti Rasiman Rasiman Refiarni Refiarni Rika Yaitul Islami Rikanah i Rina Wijayanti Ririn Santoso Riyadhotus Sholihah Rizal Ashari Rofian, Ari Widyaningrum, Rofian, Rohmah Khasanah Samuji Samuji Sarah Miriam Sarbaini Sarbaini Sayidah Mahtari Sholikhah Sidon Dina Agustina Singgih Nugroho Siti Fatimah Dwi Husadati Siti Nur Azizah Siti Nurfadilah Sri Suneki Sukamto, Sukamto Sukat Sumarno Sumarno Sumarno Suyidno Suyidno Suyidno Tokoh Bayu Andika Tri Desyanti Tri Indri Susanti Ummi Kaltsum Veryliana Purnamasari Wahyu Hari Kristiyanto Wahyu Tri Utami Wawan Kurniawan Yoyok Haryono