The effects of delay time sequence and charge per delay on ground vibration: A case study

2012 ◽  
pp. 227-232
2019 ◽  
Vol 2 (3) ◽  
pp. 1152-1166
Author(s):  
Hakan Aslan ◽  
Suhrab Ahadi

In this study; delay times and queue length parameters were analysed for the new structure obtained by revising the current geometric situation and signalling system at two intersections in an important city of Afghanistan, Mezar-i-Sheriff, using two different VISSIM and SIDRA softwares. In addition to present and improved geometry scenarios, the traffic characteristics of the current and future cases to improve the service level of the network by reducing delay time and queue lengths through signal coordination were also investigated. According to the analytical findings of the study, it was found that if the coordination is carried out between the first and the second intersection of Marmul Street before the improved geometric design, the total vehicle delays for the system decreased by up to 3.36 percent. After improving the geometric design, total vehicle delays for the system decreased by up to 8.85 percent. When the current and the improved situation are compared, it was seen that, in the improved case, the delays in the total vehicle delays for the pre-coordination and after coordination system (network) decreased 51.78 and 54.51 percent, respectively.


2020 ◽  
Vol 61 (6) ◽  
pp. 22-29
Author(s):  
Hoang Nguyen . ◽  

Blasting is considered as one of the most effective methods for rock fragmentation in open - pit mines. However, its side effects are significant, especially blast - induced ground vibration. Therefore, this study aims to develop and apply artificial intelligence in predicting blast - induced ground vibration in open - pit mines. Indeed, the k - nearest neighbors (KNN) algorithm was taken into account and developed for predicting blast - induced ground vibration at the Deo Nai open - pit coal mine (Vietnam) as a case study. An empirical model (i.e., USBM) was also developed to compare with the developed KNN model aiming to highlight the advantage of the KNN model. Accordingly, 194 blasting events were collected and analyzed for this aim. This database was then divided into two parts, 80% for training and 20% for testing. The MinMax scale and 10 - fold cross - validation techniques were applied to improve the accuracy, as well as avoid overfitting of the KNN model. Root - mean - squared error (RMSE) and determination coefficient (R2) were used as the performance metrics for models’ evaluation and comparison purposes. The results indicated that the KNN model yielded better superior performance than those of the USBM empirical model with an RMSE of 1.157 and R2 of 0.967. In contrast, the USBM model only provided a weak performance with an RMSE of 4.205 and R2 of 0.416. With the obtained results, the KNN can be introduced as a potential artificial intelligence model for predicting and controlling blast - induced ground vibration in practical engineering, especially at the Deo Nai open - pit coal mine.


2020 ◽  
Vol 1 (1) ◽  
pp. 349-356
Author(s):  
Dhion Pradatama. DM ◽  
Chani Pradasara ◽  
Syarif Nurdiansyah

ABSTRAK Getaran tanah merupakan getaran yang ditimbulkan akibat dari proses peledakan tambang. Selama ini getaran tanah dianggap sebagai waste energy yang dapat merusak dan menjadi isu terhadap lingkungan di sekitar area tambang. PT. Multi Nitrotama Kimia sebagai perusahaan jasa peledakan dan penjualan bahan peledak di Indonesia memiliki kustomer dengan isu demikian, salah satunya adalah PT Adaro Indonesia. Guna menanggulangi isu tersebut, maka dilakukan rekayasa teknik terhadap getaran tanah yang dihasilkan dengan merubah waste energy menjadi work energy dengan prinsip linear superposition menggunakan metode signature hole analysis (SHA) dan dioptimalkan dengan aplikasi inter-deck delay pada lubang double-deck untuk meminimalisir getaran tanah yang ditimbulkan. Penelitian dan percobaan dilakukan menggunakan metode Signature Hole Analisys (SHA) untuk merekam perambatan gelombang di setiap range blok – strip tertentu terhadap area konsen. Gelombang yang telah terekam selanjutnya dianalisis dengan fitur Linear Superposition untuk mendapatkan rekomendasi waktu tunda beserta prediksi getaran yang ditimbulkan. Rekomendasi waktu tunda yang didapat adalah waktu tunda pada inter-hole, inter-row, dan inter-deck yang mana akan diterapkan untuk peledakan selanjutnya. Berdasarkan analisis menggunakan metode Signature Hole Analysis, rekomendasi waktu tunda yang diberikan dapat diterapkan untuk mengakomodir prinsip linear superposition gelombang. Penerapannya dapat dioptimalkan menggunakan inter-deck delay sehingga meminimalisir getaran tanah yang dihasilkan. Dibuktikan oleh getaran tanah yang dihasilkan menggunakan rekomendasi tersebut selalu di bawah standar yang ditetapkan (PVS = < 2.00 mm/s). Kaca Kunci : Getaran Tanah, Signature Hole Analysis, Linear Superposition   ABSTRACT One of the blasting process effect is ground vibration. Ground vibration currently consider as waste energy which it can infere and be an issue to the environment. PT. Multi Nitrotama Kimia as blasting service company and explosives sales in Indonesia has customers dealing with that issues, one of them is PT Adaro Indonesia. To overcome the issue, engineering approach is done to the ground vibration by changing waste energy into work energy with the principle of linear superposition using the signature hole analysis (SHA) method and optimized with the application of inter-deck delay on the double-deck hole to minimize the ground vibration. Researches and experiments are carried out using the Signature Hole Analysis (SHA) method to record wave propagation in each range of certain blocks - strips to the concern area. The recorded waves are analyzed with the Linear Superposition feature to obtain delay time recommendation along with the predicted vibration. The recommended delay time obtained is the delay time on inter-hole, inter-row, and inter-deck which will be applied for next blasting. Based on the Signature Hole Analysis method, the recommended delay time given can be applied to accommodate the linear superposition wave principle. Its application can be optimized using inter-deck delay to minimize ground vibration produced. Its proven by ground vibrations produced using the recommendations always below the specified standard (PVS = <2.00 mm / s). Keywords: Ground Vibration, Signature Hole Analysis, Linear Superposition


2013 ◽  
Vol 756-759 ◽  
pp. 3094-3098
Author(s):  
Tian Hong Gu ◽  
Hui Jian Cao

It is of importance to calculate the parameters of signal timing for TSP (Transit Signal Priority). However, most studies computing the delay are provided based on formula of triangle area. With communication technology developing precisely calculating the delay time of buses can be achieved. The kernel algorithm of TSP still has room for improvement. In this paper, the algorithmic flow of the most of functions is presented based on Enumeration Method.Meanwhile the study uses the VISSIM simulation model to evaluate the impact of a number of alternative priority strategies on both the prioritized buses and general traffic. The priority logic that is considered in the study provides signal timing parameters within a real-time traffic signal control environment. A case study was conducted to validate the model results. Simulation results shows that this method effectively reduces average delay time of the travelers.


Author(s):  
J. Li ◽  
X. Wang ◽  
Y. Xu ◽  
Q. Li ◽  
C. He ◽  
...  

Identifying the factors that cause taxiing delay on airports is a prerequisite for optimizing aircraft taxiing schemes, and helps improve the efficiency of taxiing system. Few of current studies had quantified the potential influencing factors and further investigated their intrinsic relationship. In view of these problems, this paper uses ADS-B data to calculate taxiing delay time by restoring taxiing route and identifying key status points, and further analyzes the impact factors of airport taxiing delay by investigating the relationship between delay time and environmental data such as weather, wind, visibility etc. The case study in Guangzhou Baiyun Airport validates the effectiveness of the proposed method.


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