Guzin Gulsev Uyar Aksoy

Seismic Intelligence is an advanced algorithm solution designed to improve surface blasting through seismic wave analysis. Developed in partnership with academic experts, this algorithm combines traditional blast design methods with real-time seismograph data and seismic modeling tools. A standout feature of Seismic Intellegence is its Q-Factor-based vibration modeling, which allows for precise vibration control, slope stability monitoring, and compliance with regulatory standards. The method employs unique delay optimization algorithms, including seismic energy dissipation techniques, to minimize environmental impact while ensuring high-quality fragmentation. Field tests, which involved over 300 blastholes, have demonstrated that the method outperforms traditional load mitigation methods. Additionally, the algorithm supports proprietary electronic delay schemes and includes advanced mapping and reporting features, setting a new standard in controlled blasting.

This study investigates the sensitivity of slope stability to internal friction angle (φ) in open-pit mining by integrating limit equilibrium analysis with field observations. Two large-scale slopes were analyzed using friction-angle scenarios derived from geotechnical data. For Site 1, φ values of 24°, 28°, and 35° yielded a maximum factor of safety (FoS) of 1.324, while Site 2 with φ values of 25°, 26°, and 33° produced FoS up to 1.421. A normalized sensitivity framework was applied to evaluate the variation of FoS with respect to φ. Results confirm that FoS increases nonlinearly with φ; however, field evidence indicates that analytical stability may not represent actual slope behavior due to geological heterogeneity, structural discontinuities, and weathering effects. The study highlights that φ should not be treated as a fixed parameter but as an uncertainty-driven field-controlled variable. The proposed framework links analytical outputs with real slope performance, improving reliability in slope design.

The removal of toxic gases leaking during excavation in infrastructure projects is crucial for both human health and environmental protection. In this process, Computational Fluid Dynamics (CFD) simulations are highly valuable for modeling and analyzing complex physical processes associated with the transport and dispersion of gases. During infrastructure projects in geothermal regions, various gases may leak from underground sources. These gases may include toxic and/or flammable substances such as hydrogen sulfide (H₂S), carbon dioxide (CO₂), and methane (CH₄). Designing an effective ventilation system is essential for the removal of toxic gases through ventilation. CFD simulations can be utilized to evaluate the design and performance of ventilation systems. Modeling gas leaks from sources encountered during excavation using CFD simulations can help understand how gases move throughout infrastructure projects and their environmental impacts. CFD simulations can assist in optimizing factors such as the placement of ventilation systems, duct design, air flow rates, and filtration efficiency. This optimization ensures the effective removal of toxic gases and minimizes environmental impacts. CFD simulations can also be used to assess the efficiency and safety of ventilation systems designed for the mitigation of toxic gases. Additionally, simulating the operation of ventilation systems during potential emergency situations can help in evaluating associated risks.

Seisblast-Promax is a new-generation software that enhances surface blasting through seismic wave analysis. Developed with academic collaboration, it integrates classical blast design with real-time sismograph data and seismic modeling tools. Its most distinctive feature is the Q-Factor-based vibration modeling, enabling high-resolution vibration control, slope stability monitoring, and regulatory compliance. Unique delay optimization algorithms, such as seismic energy damping, ensure minimal environmental impact while maintaining fragmentation quality. The software outperforms traditional burden-relief methods, as confirmed by field tests involving over 300 blast holes. Seisblast-Promax also supports proprietary electronic delay schemes and integrates advanced mapping and reporting features, establishing a new benchmark in controlled blasting.

Coal produced in underground mines is transported to the surface by means of conveyor belts throughout long roadways. The combustion of belts puts a large number of employees at great risk. Underground collieries differ from other underground mines -due to the combustible nature of the product. The most prevalent cause of belt fires in underground coal mine is spontaneous combustion due to oxidation of the coal, which also enables the conveyor belt to burn over time. In 2014, a belt fire in an underground coal mine in Manisa-Soma, Turkey caused 301 fatalities. A study has been conducted on this accident for approximately 3 years, consisting of combustion tests in a purpose-built research gallery, comparison of the test results with mine records of the accident, and CFD modelling of the mine environment. The intensity of the fire was sufficient to redirect the air flow underground, causin large amounts of toxic gases to fill almost the entire mine in approximately 15 minutes. It is recommended that CFD analysis be used in planning emergency action strategies in underground mines.