Derin karıştırma kolonu dayanımının yanıt yüzey yöntemi esaslı modellenmesi ve karşılaştırmalı analitik ve metasezgisel optimizasyonu

Öz

Bu çalışmada, düşük plastisiteli killi zeminde oluşturulan laboratuvar ölçekli derin karıştırma kolonlarının (DKK) 28 günlük serbest basınç dayanımı (UCS), yanıt yüzey yöntemi (YYY) esaslı I-optimal yaklaşımla modellenmiş ve analitik/metasezgisel optimizasyon yöntemleriyle optimize edilmiştir. Laboratuvar ölçekli DKK’lerde çimento (%5–%20), silis dumanı (%0–%15), akışkanlaştırıcı katkı (%0–%5), su/bağlayıcı oranı (0.9–2.5) ve su muhtevası (%25–%33) etkileri 21 karışımla incelenmiştir. Karotların 28 günlük UCS değerleri 123.8–5037.7 kPa aralığında bulunmuş, varyans analizi (ANOVA) ile en etkili parametrelerin sırasıyla su/bağlayıcı oranı, çimento oranı ve silis dumanı oranı olduğu belirlenmiştir. Belirleme katsayısı (R²) = 0.945 olan regresyon modeli üzerinde Lagrange çarpanları 5089.7 kPa, parçacık sürü optimizasyonu (PSO) ve arılar algoritması ise 5154.2 kPa optimum UCS öngörmüş; optimum karışımla üretilen DKK’den alınan karotlardan ortalama 5218 kPa UCS ölçülerek tahminlerle %1.24–%2.52 aralığında uyum sağlanmıştır. Çalışma; DKK için I-optimal tasarımı, analitik/metasezgisel optimizasyonu ve laboratuvar ölçekli DKK boyutlarında doğrulamayı birleştirerek literatüre özgün bir katkı sunmaktadır.

Anahtar Kelimeler

• Arılar algoritması
• Derin karıştırma
• Optimizasyon
• Parçacık sürü optimizasyonu
• Yanıt yüzey yöntemi

Destekleyen Kurum

Selçuk Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü

Proje Numarası

18401004

Teşekkür

Bu çalışmada Selçuk Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü tarafından 18401004 numaralı proje ile desteklenen “Katkı İçerikli Derin Karıştırma Kolonları Performans Özelliklerinin Model Deneylerle Araştırılması” isimli yüksek lisans tezinin deneysel verileri kullanılmıştır.

Response surface methodology-based modeling and comparative analytical and metaheuristic optimization of deep mixing column strength

Öz

In this study, the 28-day unconfined compressive strength (UCS) of laboratory-scale deep mixing columns (DMCs) produced in low-plasticity clay soil was modeled using a response surface methodology (RSM)-based I-optimal approach and optimized via analytical/metaheuristic optimization methods. The effects of cement (5–20%), silica fume (0–15%), superplasticizer (0–5%), water/binder ratio (0.9–2.5), and water content (25–33%) on laboratory-scale DMCs were investigated through 21 mixtures. The 28-day UCS values of the cores ranged from 123.8 to 5037.7 kPa; the water/binder ratio, cement content, and silica fume content were identified by analysis of variance (ANOVA) as the most influential parameters, in descending order of influence. On the regression model with the coefficient of determination (R²) = 0.945, the Lagrange multipliers method predicted an optimum UCS of 5089.7 kPa, while particle swarm optimization (PSO) and the bees algorithm both predicted 5154.2 kPa; cores extracted from the DMC produced with the optimum mixture yielded an average UCS of 5218 kPa, in agreement with the predictions within a 1.24–2.52% margin. By combining I-optimal design, an analytical/metaheuristic optimization, and validation at laboratory-scale DMC dimensions, the study presents an original contribution to the literature.

Anahtar Kelimeler

• The bees algorithm
• Deep mixing
• Optimization
• Particle swarm optimization
• Response surface methodology

Destekleyen Kurum

Selcuk University Scientific Research Projects Coordinatorship

Proje Numarası

18401004

Teşekkür

This study utilized experimental data from a master's thesis entitled "Investigation of Performance Characteristics of Deep Mixing Columns with Additive Content by Model Experiments" supported by SSelcuk University Scientific Research Projects Coordinatorship under project number 18401004.

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