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Aminullah, Akhmad
Civil And Environment Engineering Of Gadjah Mada University
Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Neuroscience Public Health Social Sciences Transportation

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Analisis Modal Operasional (OMA) pada Jembatan Concrete Box Girder Bentang 50 Meter dengan Perbandingan Metode Fast Fourier Transform (FFT) dan Enhanced Frequency Domain Decomposition (EFDD) Vallentino, Rizky; Aminullah, Akhmad; Suhendro, Bambang
Teras Jurnal : Jurnal Teknik Sipil Vol. 15 No. 2 (2025): Teras Jurnal (September)
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v15i2.1286

Abstract

Abstrak   Jembatan merupakan infrastruktur vital dalam sistem transportasi yang memerlukan pemantauan kondisi struktural secara berkelanjutan. Penelitian ini bertujuan untuk menganalisis karakteristik dinamis jembatan box girder dengan bentang 50 meter menggunakan dua metode dalam Operational Modal Analysis (OMA), yaitu Fast Fourier Transform (FFT) dan Enhanced Frequency Domain Decomposition (EFDD). Data percepatan direkam oleh tiga sensor akselerometer yang dipasang pada satu bentang, dengan fokus pada sumbu vertikal (Z) untuk merepresentasikan respons struktur akibat eksitasi alami dari beban lalu lintas kendaraan (traffic-induced vibrations). Analisis menggunakan perangkat lunak PyOMA menunjukkan bahwa FFT mengidentifikasi dua frekuensi alami vertikal sebesar 2,672 Hz dan 3,207 Hz, sementara EFDD mendeteksi frekuensi sebesar 2,632 Hz dan 3,202 Hz, dengan selisih hanya 1,50% dan 0,16%. FFT efektif dalam memberikan gambaran awal terhadap spektrum frekuensi dan mendeteksi puncak dominan, sementara EFDD menawarkan kelebihan dalam memperkirakan redaman modal, mengekstraksi bentuk mode, serta mengidentifikasi mode yang berdekatan. Hasil ini menunjukkan bahwa kombinasi kedua metode mampu meningkatkan akurasi identifikasi modal dan mendukung penerapan sistem Structural Health Monitoring (SHM) berbasis data eksitasi alami secara efisien dan akurat.   Kata kunci: SHMS, Analisis Modal Operasional, PyOMA, FFT, EFDD     Abstract   Bridges are vital infrastructure in transportation systems that require continuous structural condition monitoring. This study aims to analyze the dynamic characteristics of a 50-meter span box girder bridge using two methods in Operational Modal Analysis (OMA), namely Fast Fourier Transform (FFT) and Enhanced Frequency Domain Decomposition (EFDD). Acceleration data were recorded by three accelerometer sensors installed on a single span, focusing on the vertical (Z) axis to represent the structural response due to natural excitation from traffic-induced vibrations. Analysis using the PyOMA software showed that FFT identified two vertical natural frequencies at 2.672 Hz and 3.207 Hz, while EFDD detected frequencies of 2.632 Hz and 3.202 Hz, with differences of only 1.50% and 0.16%, respectively. FFT is effective for providing an initial overview of the frequency spectrum and identifying dominant peaks, whereas EFDD offers advantages in estimating modal damping, extracting mode shapes, and identifying closely spaced modes. These results indicate that the combination of both methods can enhance the accuracy of modal identification and support the efficient and accurate implementation of Structural Health Monitoring (SHM) systems based on ambient excitation data.   Keywords: SHMS, Operational Modal Analysis, PyOMA, FFT, EFDD
Efektifitas Metode SSI Covariance dalam Sistem Pemantauan Kesehatan Struktur (SHMS) Jembatan Box Girder Bentang 40 Meter. Akbar, Muhammad; Aminullah, Akhmad; Awaludin, Ali
Teras Jurnal : Jurnal Teknik Sipil Vol. 15 No. 2 (2025): Teras Jurnal (September)
Publisher : UNIVERSITAS MALIKUSSALEH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tj.v15i2.1293

Abstract

Abstrak   Pemantauan frekuensi alami pada jembatan box girder bentang 40 meter merupakan langkah penting dalam memastikan stabilitas dan keselamatan struktur selama kondisi layanan aktual. Penelitian ini menerapkan metode Stochastic Subspace Identification (SSI) covariance untuk mengidentifikasi karakteristik dinamis struktur berdasarkan respons getaran akibat beban operasional kendaraan yang melintas. Data diolah tanpa eksitasi buatan, sehingga mencerminkan perilaku dinamis jembatan secara realistis. Hasil analisis menunjukkan frekuensi alami yang stabil dan konsisten pada rentang 3,88–3,89 Hz, baik dari masing-masing sensor maupun analisis gabungan. Temuan ini konsisten dengan hasil pemodelan numerik, yang memperkuat validitas metode SSI covariance sebagai pendekatan non invasif dalam pemantauan kesehatan struktur. Pendekatan ini menegaskan frekuensi alami sebagai indikator utama dalam mengevaluasi kondisi struktural jembatan secara akurat dan andal di bawah beban operasional nyata.   Kata kunci: SHMS, OMA, SSI covariance, Frekuensi Alami.   Abstract   Monitoring the natural frequency of a 40-meter span box girder bridge is essential to ensure the structural stability and safety under actual service conditions. This study applies the Stochastic Subspace Identification (SSI) covariance method to identify the dynamic characteristics of the structure based on vibration responses induced by operational vehicle loads. The data were processed without artificial excitation, thereby reflecting the realistic dynamic behavior of the bridge during operation. The analysis results indicate a stable and consistent natural frequency in the range of 3.88–3.89 Hz, observed across individual sensor measurements as well as in combined analysis. These findings are in good agreement with the numerical modeling results, strengthening the validity of the SSI covariance method as a non invasive approach in structural health monitoring. This approach emphasizes the role of natural frequency as a key indicator for accurate and reliable evaluation of bridge structural conditions under real operational loads.   Keywords: SHSM, OMA, SSI covariance, Natural Frequency
Co-Authors Agustono Setiawan Ahmad Rifa`i Aisyah Aisyah Ali Awaludin Ali Awaludin Almulianur Almulianur Andreas Triwiyono Angga Fajar Setiawan Annisa Azhar Firdausi Arief Setiawan Budi Nugroho Arif Setiawan Budi Nugroho Ashar Saputra Astalis Ulul Absor, Didib Baehaki Baehaki Baehaki _ Bambang Agus Kironoto Bambang Suhendro Bambang Suhendro Bambang Supriyadi Brigitta Petra Kartika Narindri Danang Parikesit Djoko Sulistyo Djoko Sulistyo Ghuzdewa, Toriq Arif ghuzdewan, Toriq arif Handayani , Tantri Nastiti Harahap, Kinanti Faradiba Henricus Priyosulistyo, Henricus Iman Satyarno Irawati, Inggar Septhia K. T. N. Gherry Kencana, Yoga Kesuma, I Made sutrisna Ari Kinanti Faradiba Harahap KMS. M. Rama Perwira Lau, Debora Lautan Wijaya Nusantara, Johan M. Fauzi Darmawan Mahendra, Didi Herianto Maulana Agung Sedayu Mufid Kusuma, Muhammad Farhan Muhammad Akbar Muslikh Muslikh Ni Nyoman Nepi Marleni Nugroho, Arief Setiawan Budi Nurul Alvia Istiqomah Panji Ginaya Taufik Panji Krisna Wardana Pratama, Herdian Rachmad Jayadi Raka Bagus Panuntun Ratih Dewanti restu faizah Risang Aji Dananjoyo Sanjaya, Rudi Sari, Halima Irianti Puspita Suprapto Siswosukarto Suprapto Siswosukarto Suprapto Siswosukarto Tambunan, Reinhard Taufik, Panji Ginaya Toriq arif ghuzdewan Triyoso, Christopher Vallentino, Rizky WARKA, I GEDE PUTU Y. A. Adhitama Yusuf, Effendi Zulkifli, Rifdah Rofifah