MÜHENDİSLİK FAKÜLTESİ

Yayınlar

Bölümümüz Akademik Personeli tarafından son 4 yıl içerisinde yayınlanmış olan makaleler (Ulusal ve Uluslararası) aşağıda sunulmuştur.

2023

  1. A. DEMIR, M. Palanci and A.H. Kayhan, Evaluation the effect of amplitude scaling of real ground motions on seismic demands accounting different structural characteristics and soil classes. Bull Earthquake Eng (2023). https://doi.org/10.1007/s10518-023-01780-1.
  2. A. DEMIR, A.H. Kayhan and M. Palanci, Response- and probability-based evaluation of spectrally matched ground motion selection strategies for bi-directional dynamic analysis of low- to mid-rise RC buildings. Structures 58, (2023). https://doi.org/10.1016/j.istruc.2023.105533.
  3. A. DEMIR, Comparisons of TBEC 2018 and TEC 2007 seismic codes by means of maximum and residual displacement demands. Pamukkale Univ Muh Bilim Derg 29(5), 493-506 (2023). DOI:10.5505/pajes.2022.11268.
  4. A. DEMİR, TBDY 2018 ile Uyumlu Gerçek İvme Kayıtları Kullanılarak TSD Sistemlere Giren Enerjinin İncelenmesi, Mühendis Bilim Tasar Derg 11(3), 1018-1029 (2023). DOI: 10.21923/jesd.1184845
  5. S. DEMİR and E.K. SAHIN, Assessing the predictive capability of DeepBoost machine learning algorithm powered by hyperparameter tuning methods for slope stability prediction. Environmental Earth Sciences 82 (23), 562 (2023). https://doi.org/10.1007/s12665-023-11247-w
  6. KESKİN, İ. ŞENTÜRK, H. İ. YUMRUTAŞ, E. TOTİÇ, and A. ATEŞ, “An environmentally friendly approach to soil improvement with by-product of the manufacture of iron,” BioRESOURCES, vol. 18, no. 1, pp. 2045–2063, Jan. 2023.
  7. E. K. SAHİN, “Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF  SVM  and XGBoost,” Stochastic Environmental Research and Risk Assessment, vol. 37, pp. 0–0, Mar. 2023.
  8. E. K. ŞAHİN and S. DEMİR, "Greedy-AutoML: A Novel Greedy-Based Stacking Ensemble Learning Framework for Assessing Soil Liquefaction Potential", Engineering Applications of Artificial Intelligence, 2023
  9. S. DEMİR and E. K. ŞAHİN, “Application of state-of-the-art machine learning algorithms for slope stability prediction by handling outliers of the dataset,” Earth Science Informatics, pp. 0–0, Jul. 2023.
  10. S. DEMİR and E. K. ŞAHİN, “Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization  PSO-XGBoost  PSO-LightGBM  and PSO-CatBoost,” Acta Geotechnica, pp. 0–0, Jan. 2023.
  11. S. DEMİR and E. K. ŞAHİN, “Random Forest Importance-Based Feature Ranking and Subset Selection for Slope Stability Assessment using the Ranger Implementation,” European Journal of Science and Technology, pp. 0–0, Mar. 2023.
  12. A. ARİ, S. DEMİR, and P. ÖZENER, “Examining the Role of Liquefiable Layer Thickness and Depth on the Seismic Lateral Response of Piles through Numerical Analyses,” International Journal of Geomechanics, vol. 23, no. 5, pp. 1–1, May 2023.
  13. S. DEMİR, “Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil,” Periodica Polytechnica Civil Engineering, vol. 67, no. 1, pp. 24–35, Jan. 2023.
  14. M. PALANCİ, A. DEMİR, and A. H. KAYHAN, “Quantifying the effect of amplitude scaling of real ground motions based on structural responses of vertically irregular and regular RC frames,” Structures, vol. 51, pp. 105–123, May 2023.

2022

  1. A. ATEŞ and Ş. Toplu, “Örnek Bir Yapıda Kazık Mesafe Değişiminin Kazık Tasarımına  Etkisinin İncelenmesi,” Avrupa Bilim ve Teknoloji Dergisi, vol. 35, no. 1, pp. 579–594, Apr. 2022.
  2. A. DEMİR, "Investigation of the effect of real ground motion record number on seismic response of regular and vertically irregular RC frames", Structures, 2022
  3. M. PALANCİ, A. DEMİR, and A. H. KAYHAN, "Multi-functional solution model for spectrum compatible ground motion record selection using stochastic harmony search algorithm", Bulletin of Earthquake Engineering 2022
  4. Ç. MOLLAMAHMUTOĞLU, A. MERCAN, and A. Levent, “A comprehensive mechanical response and dynamic stability analysis of elastically restrained bi-directional functionally graded porous microbeams in the thermal environment via mixed finite elements,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 44, pp. 0–0, Jan. 2022.
  5. M. GÜLEN, S. DEMİR, U. COŞKUN, A. COŞANDAL, and S. AKBULUT, “Kum Zeminlerin Ara Yüzey Sürtünme Açılarının Belirlenmesi,” presented at the Zemin Mekaniği ve Geoteknik Mühendisliği 18. Ulusal Konferansı, Kayseri, 2022.
  6. S. DEMİR, “Numerical Investigation of the Effects of Ground Motion Characteristics on the Seismic Behavior of Liquefiable Soil,” Periodica Polytechnica Civil Engineering, pp. 0–0, Sep. 2022.
  7. S. DEMİR and P. ÖZENER, “Effect of shear strain compatibility and incompatibility approaches in the design of high modulus columns against liquefaction  A case study in Christchurch  New Zealand,” Bulletin of Earthquake Engineering, vol. 20, pp. 0–0, Jun. 2022.
  8. S. DEMİR and E. K. ŞAHİN, “An investigation of feature selection methods for soil liquefaction prediction based on tree-based ensemble algorithms using AdaBoost  gradient boosting  and XGBoost,” Neural Computing and Applications, pp. 0–0, Oct. 2022.
  9. S. DEMİR and E. K. ŞAHİN, “Comparison of tree-based machine learning algorithms for predicting liquefaction potential using canonical correlation forest  rotation forest  and random forest based on CPT data,” Soil Dynamics and Earthquake Engineering, vol. 154, pp. 0–0, Jan. 2022.
  10. S. DEMİR and E. K. ŞAHİN, “Liquefaction prediction with robust machine learning algorithms  SVM  RF  and XGBoost  supported by genetic algorithm-based feature selection and parameter optimization from the perspective of data processing,” Environmental Earth Sciences, vol. 81, no. 18, pp. 1–17, Sep. 2022.
  11. S. DEMİR and E. K. ŞAHİN, “Evaluation of Oversampling Methods  OVER  SMOTE  and ROSE  in Classifying Soil Liquefaction Dataset based on SVM  RF  and Naïve Bayes,” Avrupa Bilim ve Teknoloji Dergisi, no. 34, pp. 142–147, Mar. 2022.
  12. E. K. ŞAHİN, “Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping,” Geocarto International, vol. 37, no. 9, pp. 2441–2465, Jul. 2022.
  13. E. K. ŞAHİN, "Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost", Stochastic Environmental Research and Risk Assessment, 2022.

2021

  1. A. ATEŞ, S. Poyraz, and Ö. Çoban, “Sokaktan Tarama Yöntemiyle Binaların Bölgesel Deprem Risk Dağılımının Belirlenmesi  Bilecik İli Örneği,” Düzce Üniversitesi Bilim ve Teknoloji Dergisi, vol. 9, no. 4, pp. 1310–1328, Jul. 2021.
  2. A. ATEŞ, “Antik Konuralp Kentinde Tarihsel Dönem Depremlerinin Antik Yapılara Etkisinin Ve İzlerinin Araştırılması  Tr ,” Avrupa Bilim ve Teknoloji Dergisi, no. 25, pp. 582–593, Aug. 2021.
  3. M. ORHAN,A.ATEŞ and S. ŞENKAN, "CBR Test Sonuçlarının Üç Eksenli Deney Sonuçları İle Korelasyonunun Değerlendirilmesi", Avrupa Bilim ve Teknoloji Dergisi, 2021
  4. M. PALANCİ, A. DEMİR, and A. H. KAYHAN, “The investigation of displacement demands of single degree of freedom models using real earthquake records compatible with TBEC-2018,” Pamukkale University Journal of Engineering Sciences, vol. 27, no. 3, pp. 251–263, Jun. 2021
  5. A. DEMİR, M. PALANCİ, and A. H. KAYHAN, “Probabilistic assessment for spectrally matched real ground motion records on distinct soil profiles by simulation of SDOF systems,” Earthquakes and Structures, vol. 21, no. 4, pp. 395–411, Oct. 2021
  6. O. ARSLAN, “Hydrological Drought Analysis for Bolu City with Streamflow Drought Index,” International Scientific and Vocational Studies Journal, vol. 5, pp. 115–123, Dec. 2021.
  7. S. DEMİR, “Effect of Groundwater Level on Site Response Behavior of a One-Layered Liquefiable Soil,” Mühendislik Bilimleri ve Tasarım Dergisi, vol. 9, no. 3, pp. 796–808, Sep. 2021.
  8. S. DEMİR, “Numerical Assessment of the Performance of Different Constitutive Models used to Predict Liquefiable Soil Behavior,” International Advanced Researches and Engineering Journal, vol. 5, no. 2, pp. 260–267, Aug. 2021
  9. S. DEMİR and E. K. ŞAHİN, "Assessment of Feature Selection for Liquefaction Prediction Based on Recursive Feature Elimination" Avrupa Bilim ve Teknoloji Dergisi, 2021
  10. E. K. ŞAHİN and İ. ÇÖLKESEN, “Performance analysis of advanced decision tree-based ensemble learning algorithms for landslide susceptibility mapping,” Geocarto International, vol. 36, no. 11, pp. 1253–1275, May 2021.
  11. F. A. ÇAĞLAR and T. TATAR, “Calibration of RC Columns Using Fiber Elements,” presented at the The 5th International Symposium on Natural Hazards and Disaster Management (ISHAD2021), Sakarya, 2021.
  12. F. A. ÇAĞLAR and T. TATAR, “Fiber Based Modeling Strategies of RC Columns,” Academic Platform Journal of Natural Hazards and Disaster Management, vol. 2, no. 2, pp. 85–95, Dec. 2021

2020

  1. A. ATEŞ, C. BORANSUKUŞU, and K. Sa. DOĞAN, “Düzce Üniversitesi Merkez Kampüsü Tıp Fakültesi Önünde Bulunan Konsol Tipi İstinat Duvarının Statik Ve Dinamik Analizi İle Tasarlanması Ve Dayanım Tahkiki,” presented at the 4. Çukurova Uluslararası Bilimsel Araştırmalar Kongresi 21-23 Şubat 2020 / Adana, 2020.
  2. A. ATEŞ and A. H. MUTLU, “Optimal Site Selection For Temporary Housing After An Earthquake in Urban Areas Using Multiple Criteria Decision Making Methods And Gisa a Sample Of Düzce in TURKEY,” Journal of Current Construction, vol. 1, no. 1, pp. 25–32, Nov. 2020.
  3. A. ATEŞ, “Seismic Hazard Analysis Using AHP-GIS at Duzce Vicinityin in  Turkey,” Journal of Current Construction, vol. 1, no. 1, pp. 13–24, Nov. 2020.
  4. A. DEMİR, M. PALANCİ, and A. H. KAYHAN, “Evaluation of Supplementary Constraints on Dispersion of EDPs Using Real Ground Motion Record Sets,” Arabian Journal for Science and Engineering, vol. 45, pp. 8379–8401, Jun. 2020
  5. O. ARSLAN, “Changes in Crop and Irrigation Water Requirements in Niğde,” International Scientific and Vocational Studies Journal, vol. 4, no. 1, pp. 68–74, Jun. 2020.
  6. O. ARSLAN, “Yamula Barajı nın Potansiyel Evapotranspirasyona Etkisi,” European Journal of Science and Technology, pp. 15–20, Apr. 2020.
  7. S. DEMİR and P. ÖZENER, “Parametric Investigation of Effectiveness of High Modulus Columns in Liquefaction Mitigation,” Soil Dynamics And Earthquake Engineering, vol. 139, pp. 0–0, Aug. 2020.
  8. K. Tezel, A. AKGÜN, and E. K. ŞAHİN, “A Comparison of Extreme Gradient Boost and Gradient Boost Methods from Machine Learning Methods in Earthflow Susceptibility Assessment  Beşikdüzü  Trabzon  Example,” presented at the 2nd International Disaster & Resilience Congress, Eskişehir, 2020.
  9. E. K. ŞAHİN, İ. ÇÖLKESEN, Ş. S. Açmalı, A. AKGÜN, and A. Ç. AYDINOĞLU, “Developing comprehensive geocomputation tools for landslide susceptibility mapping  LSM tool pack,” Computers and Geosciences, vol. 144, no. 104592, pp. 1–16, Nov. 2020.
  10. E. K. ŞAHİN, “Assessing the predictive capability of ensemble tree methods for landslide susceptibility mapping using XGBoost  gradient boosting machine  and random forest,” SN Applied Sciences, vol. 2, no. 7, pp. 1–17, Jul. 2020.
  11. İ. ÇÖLKESEN and E. K. ŞAHİN, “Heyelan Duyarlılık Analizinde Eğitim Seti Boyutunun Harita Doğruluğuna Etkilerinin Araştırılması,” Harita Dergisi, vol. 84, no. 164, pp. 43–60, Jul. 2020.
  12. E. K. ŞAHİN, R. BOVKIR, and A. Ç. AYDINOĞLU, “Yeni Teknolojik Gelişmelerin Coğrafi Bilgi Sistemlerine Etkisi,” Harita Dergisi, vol. 86, no. 163, pp. 1–16, Jan. 2020.